Data scientist jobs in South Carolina

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 1,200 storefronts locations and online lending. Providing services in over 27 states, Purpose Financial employs over 3,700 team members. At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals. We offer: Competitive Wages Life/Health Benefits 401(k) Savings Plan Educational Assistance Paid Vacation/Holidays Employee Discounts Work-life Balance Business Casual Environment Paid Volunteer time off Rewards and Recognition Program EAP To learn more about Purpose Financial visit Purpose Financial Website Position Summary This position reports to the Vice President, Credit Risk, and is responsible for leading the team that builds and creates stochastic and deterministic models for use across the company, profitability, performance analysis, and developing test/control strategies. This role is both a technical and managerial role whereby the candidate performs analysis and prepares data as well as serves as a mentor to the more junior analysts. Furthermore, this role requires someone who quickly adapts to change and is willing to complete all duties as assigned and requested. Job Responsibility Manage the development and implementation of advance statistical and machine learning models across the customer lifecycle to include customer acquisition, onboarding (operational processes), credit underwriting, product optimization, and collections. Assists junior modelers with model design, construction, implementation, monitoring, and delivering model results to leadership. Monitor consumer loan portfolio and optimize profit-based risk management decisions at all stages of the customer credit life cycle, including (but not limited to) new customer acquisition, underwriting, conversion, collections, and retention. Independently designs experiments to enable longer term optimization of decisions, line assignment, and offer terms across our menu of financial products and customer segments. Works with credit bureaus to evaluate new data sources and “Ad-Hoc” analysis as assigned. Collaborate with Finance and Business Intelligence to build and improve monitoring of portfolio KPIs and product strategy. Job Responsibilities Cont. Education Required Master's Degree in Quantitative Field (Engineering, Statistics, Mathematics, Economics, or other comparable quantitative field) required or Bachelor's Degree in Quantitative Field (Engineering, Statistics, Mathematics, Economics, or another comparable quantitative field) required. Experience Required Three (4) years of experience working in an analytical role in banking, finance, or retail. Prior work experience with R, Python, SQL, or another analytical tool. Knowledge Required Strong written and verbal communication skills. Basic understanding of statistical principals (p-value, etc.). Comfortable with solving complex problems, working with computers and technology, and using higher level mathematics. Adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to read, write, evaluate, and apply information. Ability to interact professionally and exhibit appropriate social skills. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products. Ability to develop and maintain business relationships. Ability to quickly learn all technology needed in order to perform the role. Prior coursework in advanced mathematics, computer programming, economics, and operations research would be beneficial. Physical Requirements Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location. Competencies Achieve Desired ResultsAnalysis/Problem SolvingCustomer Advocacy InclusivenessIntegrity/ComplianceInterpersonal SkillsResilienceResults/AccountabilityTravel 0-10% Attire Business Casual Other Must be eligible to work in the USA and able to pass a background check. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. Requisition ID: 37371

Job DescriptionOverview At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future. We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence has an up coming need for a Dats Scientist supporting AFCENT A2 at Shaw AFB, SC 29152 Responsibilities include, but are not limited to the duties listed below: Provide expert analytic support through the development and publishing of threat operating areas and procedures to directly support USCENTCOM directed planning efforts. These products may include, but are not limited to oral briefings and discussions, PowerPoint presentations, formal messages, background papers, collection requirements, production requirements, RFI answers, and staff summary packages for general officers, and intelligence community SMEs. . Provide critical oversight of training on predictive and forensic analysis of S2S/WMD programs throughout the Middle East. Expertise shall center on Theater Ballistic Missile (TBM), Cruise Missiles, Long Range Rockets (LRRs), operations; sub-categories include operational command and control; battle management; S2S system and subsystem capabilities, inventory and disposition; tactics, techniques, and procedures; denial and deception. Provide expert analytic support to 9AF (AFCENT) planning by authoring and reviewing prioritized intelligence, collection, and production requirements, and integration of new TTPs to advance planning efforts. Member will serve as the adversary Airpower authority on 9AF (AFCENT)'s Red Team, during war-gaming and exercises, and in support of 9AF (AFCENT)'s adaptive planning processes. As directed, leverage all formal and informal analytic exchanges, as well as training opportunities, to foster peer-to-peer collaboration, ensure thorough vetting of products, and deliberately pursue/maintain acuity on essential elements of tradecraft. Maintain coordination/collaboration, critical to mission success, with: the National Command Authority; National, International, and Service Intelligence Centers; Combatant Commands, Air Components, and Wing Intelligence. As a member of a focused analytic team, work with all available sources to develop new methods to support USAFCENT F2T development efforts. Member will be responsible for leveraging advanced analytic techniques to advance understanding of adversary TTPs to directly support USAFCENT operational priorities while balancing Intelligence Community requirements. Effectively operating as a member of an analytical team in support of CJOA requirements Travel to CJOA and/or within CONUS in order to provide/receive training Briefing skills to include the ability to clearly articulate information The following is required: Alternate Compensatory Control Measures (ACCM) and access to Special Access Programs (SAP) information. Requirements TS/SCI Bachelor's degree or eight (8) years' USAF experience. Six (6) years' comparable experience. Formal Intelligence Analysis training. Experience analyzing and briefing adversary surface-to-surface missile capabilities. Experience with structured analytic techniques to develop new solutions for analytic gaps Working knowledge of US Air Force Collection, Targeting, and Planning Processes Working knowledge of USCENTCOM AOR, political/military threats, understanding of violent extremist organizations, terrorist organizations; working knowledge of intelligence analysis and TTPs. Proficient in utilizing standard computer applications and intelligence related automation to support analytical efforts and product development Advanced Analytic training: preferred. Experience working with structured data and data scientists to develop analytic solutions to complex intelligence problems: preferred

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

Welcome to Furman University's Career Site! * IMPORTANT: Load all documents in the My Experience area under Resume/CV. This may include your resume/C.V., cover letter, unofficial transcript, teaching philosophy, etc. Please wait for all documents to finish uploading before clicking Next. * If the process times out you will lose your progress, so please ensure you have all necessary documents available before starting. * The drop-down lists only display so many options: please type into a drop-down list to search for your option. For example: in Field of Study, you may need to enter your field name. If you have no field, type "None." * If you have previously applied, make sure your information is current as you can transfer it to another application. * Prior to submitting your application, verify all information for accuracy and ensure you have uploaded all appropriate documents. Once submitted, you will not be able to edit your application other than to change your contact information. If you have any questions or need additional assistance, please contact the Office of Human Resources via email at ********************** or by calling ************. Job Title: Data Scientist for Enrollment Management Job Family: Professionals Full-Time/Part-Time: Full time Compensation Grade: 10S Pay Type: Salary Department: VP for Enrollment Job Summary: Reporting to the Vice President for Enrollment Management, the Data Scientist is a member of the Enrollment Management senior leadership team and understands admission and financial aid strategies for undergraduate students and how to harness data, influence, and model admissions decisions, financial aid, enrollment, and student success. The Data Scientist will gather, interpret, monitor and analyze data policies, procedures and outcomes. The Data Scientist will use software engineering, statistics, and machine learning to automate processes and develop solutions to enrollment challenges. Job Description: Essential Job Duties: Design and conduct complex data analysis using student application data, demographic information, financial aid data, student success data, and other relevant sources. Develop and implement sophisticated predictive models to inform recruitment, selection, yield, and financial aid strategies. Use data reporting tools available through third parties such as the National Student Clearinghouse and data sharing consortiums to analyze trends and inform strategies throughout the enrollment cycle. Create useful data visualizations and reports to effectively communicate complex findings to both highly technical and non-technical audiences. Partner with Admissions, Financial Aid, and Marketing teams to translate data insights into actionable strategies. Maintain a strong working relationship with Institutional Technology. Acquire a deep understanding of relevant aspects of undergraduate admissions at Furman. Develop relationships with key stakeholders across campus, become familiar with data relating to admissions priorities, and stay abreast with national context (including current events, court cases, and academic research Stay up to date on the latest trends and techniques in data science and enrollment management. Maintain data security and integrity and ensure compliance with all FERPA regulations. Proactively seek and locate data, including outside benchmarks or comparative data, to support or refute proposed decisions. May need to collaborate with other organizations to gather data. Drive the collection of new data resources and refinement of existing resources. Research and propose options for the collection and warehousing of new data, particularly data that is new to the admissions ecosystem. In partnership with Institutional Research partners, determine appropriate methodology for data extraction, transformation, storage, and usage. Develop processes for loading and updating data that are efficient and re-usable. Document all data and transformations thoroughly. Set the research agenda for the department, working with the senior management team to ensure an on-going commitment to understanding and evaluating our work. Collaborate with various research teams including Institutional Research Office. Contribute positively to other duties and projects as assigned. Basic Qualifications: Master's degree in data science, math, statistics, computer science, or a related quantitative field. Minimum 2 years of experience in a data science role. Strong programming skills in data analysis languages. The ability to construct large SQL databases and query them. Expertise in building useful and complex data visualizations. Extensive experience in and strong passion for empirical research and answering hard questions with data. Preferred Qualifications Data science experience in the education sector. Previous experience working in higher education admissions or related field with organizational processes preferred. Education Requirements: Certification Requirements: Job Posting End Date (if date is blank, posting is open ended):

Job DescriptionDescription: High Side Technology ?has an immediate need for a senior-level software engineer or data scientist to support the research and engineering initiatives of Geospatial Intelligence (GEOINT) analysis programs for Department of Defense (DoD) and Intelligence Community (IC) clients. The engineer/scientist will provide technical guidance and software systems engineering support in assessing new technologies for computer vision and structured observation data processing/management systems. This position will also plan and support the transition of new technologies to operational GEOINT analysis systems. This position will work as part of an integrated government/contractor team in supporting new technology research and engineering initiatives. Requirements: Responsibilities: Provide engineering/scientific expertise to GEOINT analysis programs; assisting with the development and management of data analytics, algorithms and modeling, tradecraft governance and proliferation, and rules and alerting capabilities to augment analytic workflows addressing DoD/IC mission priorities. Define, plan, coordinate, and guide various technical initiatives (e.g. performance analysis, feasibility studies, constraint evaluation, cost/benefit analysis) for execution of system-level functional requirements definition and resolution of interface issues. Provide research and engineering support to inform and guide the development and transition of new GEOINT analysis technologies. Assess, evaluate, and inform new computer vision (CV) technologies including specialized algorithms and machine learning (ML) models. Assess, evaluate, and inform new technologies for Structured Observation Management (SOM) and Activity-Based Intelligence (ABI) capabilities. Ensure the establishment of complete and accurate system-level functional/performance requirements that are traceable from strategic capabilities to validated customer and operations needs/requirements, and consistent with the program's architecture objectives and acquisition strategy. Define the milestones and control gate success criteria and evaluate entry/exit readiness during design reviews and audits to ensure protection of baselines and to assist in risk identification and resolution. Provide technical coordination, architecture guidance, and support for analysis capabilities development/implementation, technical road-mapping, and budget development. Plan and support data management practices to efficiently process and manage data for GEOINT analysis and production. Desired Experience: Master's degree or higher in Engineering, Computer Science, Data Science, Information Technology, Management Information Systems, or related STEM degree. Expert-level experience in government or industry in data management or Big Data analysis. Experience integrating solutions using Cloud-based technologies Demonstrated senior level experience leading technology development and technical integration efforts Demonstrated senior level experience leading multi-system integration efforts through requirements definition, development, testing and transition. Additional Desired Experience: Experience with processes, tools, and languages pertaining to Model-Based Systems Engineering (MBSE) Experience engineering solutions using structured and unstructured Big Data, AI, and Cloud-based technologies Demonstrated senior level experience integrating Geospatial Intelligence systems Demonstrated senior level experience in systems engineering and integration of large complex system of systems of service-centric/Cloud environments The Engineer/Scientist will work on government site and as part of a distributed multi-disciplinary team. This position requires interaction with government customers at all levels of authority and technical acuity and requires the ability to communicate technical and programmatic information through excellent verbal and written communication skills. Requirements: United States citizenship required Top Secret/SCI security clearance or current Top Secret SSBI with TS/SCI eligibility required; counterintelligence (CI) polygraph required Bachelor's degree in a relevant technical field 8+ years of experience

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

ProSidian is a Management and Operations Consulting Services Firm focusing on providing value to clients through tailored solutions based on industry leading practices. ProSidian services focus on the broad spectrum of Risk Management, Compliance, Business Process, IT Effectiveness, Energy & Sustainability, and Talent Management. We help forward thinking clients solve problems and improve operations. Launched by former Big 4 Management Consultants; our multidisciplinary teams bring together the talents of nearly 190 professionals globally to complete a wide variety of engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies of all sizes. Our Services are deployed across the enterprise, target drivers of economic profit (growth, margin and efficiency), and are aligned at the intersections of assets, processes, policies and people delivering value. ProSidian clients represent a broad spectrum of industries to include but are not limited to Energy, Manufacturing, Chemical, Retail, Healthcare, Telecommunications, Hospitality, Pharmaceuticals, Banking & Financial Services, Transportation, Federal and State Government Agencies. Learn More About ProSidian Consulting at ****************** Job Description ProSidian Seeks a Mathematician - Applied Mathematics (MT109) (Time and Materials | Exempt Engagement Team - Senior Consultant Level) to support an engagement for a liquid waste contractor (Savannah River Remediation [SRMC]) at the Savannah River Site in Aiken, SC, which is owned by the U.S. Department of Energy. - MT109 | Prof. This position is located in the Savannah River Site / Aiken, South Carolina Area. Mathematician - Applied Mathematics (MT109) Candidates shall work to support requirements for TBC (Mathematician Services) and statement of work (SOW) while maintaining required qualifications Nuclear & Environmental Management Sector. ProSidian Team Members work as part of the Mathematician Engagement Team Cadre to serve as a Mathematician responsible for performing a variety of computational, data analytics, and problem-solving assignments in support of/related to the design, manufacture, test, installation, operation, and maintenance of diverse process equipment and systems, and generally as a member of a design, construction, operations, or review team on more complex assignments or as a lead on less complex projects. In addition, support and engagement for a liquid waste contractor (Savannah River Remediation [SRMC]) at the Savannah River Site in Aiken, SC, which the US Department of Energy owns. Applied mathematics underpins scientific research and development, finance, engineering, economics, and information and communication technology (ICT) Tools. ICT is changing processes of Mathematics related research, teaching, learning, and application by adding elements of vitality to classroom education environments, including virtual environments for the purpose. The new digital ICT is not a single technology; it is a combination of hardware, software, multimedia, and delivery systems. Graduates in either pure math or applied math use mathematical calculations in a wide range of work sectors to help describe, analyze and solve problems. Many jobs that require a high level of expertise in math don't have the word 'mathematician' in the title. Terms such as analyst, modeler, programmer and even engineer may be used. In the context of mathematics ICT and the new technology will refer to graphical calculators and computers together with applications such as spreadsheets, graphics packages, algebra and geometry systems. Mathematicians help organizations by applying mathematical theories and techniques to solve practical problems. They collect data, analyze this data and present their findings with the aim of solving practical problems in business, government, engineering and science. The Mathematician will use computational techniques and theories to analyze data and solve problems to support and improve company business decisions. This service supports Environmental Management Sector Clients (For Present / Future Requirements), and ProSidian Team Members work as part of an Engagement Team Cadre to fulfill Mathematics requirements. A Mathematician designs, builds, and tests various applied mathematics experiments, audits, and assessments in support of structured working groups focusing on , like industrial machines, transportation systems, and robotics equipment. In addition, the Mathematician shall perform many computational applied mathematics, data analytics, and problem solving, scientific, and technical tasks in support of/related to the process of Nuclear, Energy, and Environmental Management Sector products/services/deliverables. Some of their typical duties and responsibilities include: ESSENTIAL RESPONSIBILITIES: Address The Relationships Of Quantities, Magnitudes, And Forms Through The Use Of Numbers And Symbols. Analyzing Results To Provide Information On Different Areas Such As How Materials Behave In Production, Weather Patterns, Efficient Aircraft Design Or Future Trends In Economic Development Apply Mathematical Theories And Techniques To The Solution Of Practical Problems In Business, Engineering, Or The Sciences. Assemble Sets Of Assumptions And Explore The Consequences Of Each Set. Collaborates With Engineers, Clients, And Other Staff To Identify The Specific Problem; Implements Mathematical Theories And Techniques To Solve Or Work Toward A Solution. Collecting Data From Statistical, Experimental Or Other Sources Collects And Analyzes Data To Identify Trends And Relationships. Conduct Research To Extend Mathematical Knowledge In Traditional Areas, Such As Algebra, Geometry, Probability, And Logic. Creates Statistical Or Mathematical Models To Use In Analyses Or Computer Modeling Simulations. Design, Analyze, And Decipher Encryption Systems Designed To Transmit Military, Political, Financial, Or Law-Enforcement-Related Information In Code. Designing Experiments And Research Projects To Test Mathematical Theories Designing Mathematical Models To Interpret Data Develop New Principles, And New Relationships Between Existing Mathematical Principles, To Advance Mathematical Science. Develops And Uses Various Computational Methods To Solve Engineering Problems. Identifying Problems In Discussion With Colleagues Or Business Clients Maintain Knowledge In The Field By Reading Professional Journals, Talking With Other Mathematicians, And Attending Professional Conferences. Maintains Current Knowledge Of Emerging Industry Or Technology Trends By Participating In Professional Conferences, Maintaining Relationships With Other Mathematicians, And Reading Professional Journals. Making Calculations, Using The Relevant Information Available, Often Using Computer Programs Perform Computations And Apply Methods Of Numerical Analysis To Data. Performs Other Related Duties As Assigned. Prepares And Presents Research Results To Engineers, Managers, And Clients. Presenting The Results Using Tables, Graphs, Diagrams, Computer Models Or Written Reports. Reviews And Analyzes The Security Of Data And Related Systems And Networks. Qualifications QUALIFICATIONS FOR MATHEMATICIAN Ability to conduct assessments and audits, independent checks, readiness reviews, or similar within DOE facilities. Ability to evaluate and analyze data. Ability to function as a consultant in solving problems. Ability to operate complex machinery Ability to use computer code and modeling to solve problems. Adequate technical skills to read and understand drawings, diagrams, procurement packages, P&IDs, or similar. Computer competency in the use of Excel and MS Word. Detail-oriented and able to solve problems independently Excellent deductive reasoning skills. Excellent verbal and written communication skills. Excellent written and verbal communication skills Experience working with Design Change Control (specifically change orders and Temporary Modifications) Extremely proficient with analytical and scientific software. Familiarity with at least one maintenance/plant operations software package (Smart Plant, Champs, or Maximo). History of developing or working with work packages. Keep up to date with fast-moving developments in science and technology Lab and field work during studies is highly recommended Possess a strong applied mathematics background Proficient with Microsoft Office Suite or related software. Thorough understanding of basic principles of engineering. Thorough understanding of applied mathematics and theoretical applied mathematics especially as they relate to problems associated with engineering. PREFERRED QUALIFICATIONS A variety of technical skills, industry knowledge, and soft skills to work with team members in creating effective products and devices. Ability to work under pressure with advanced problem-solving and critical thinking skills Advanced problem-solving and critical thinking skills An electrical engineering license is required Creative thinking and innovation with commercial awareness, including an understanding of target user and market Due to the nature of the work, the Candidate must be a US Citizen | Dual Citizenship is not permitted Effective verbal and written communication Excellent communication, interpersonal, organizational, analytical ,and teamwork skills with a professional attitude. Excellent mathematical and analytical skills, including advanced geometry, calculus, and physics Excellent understanding of safety rules and laws on nuclear power use Experience with DOE and NCS experience and Candidate must be able to obtain a DOE Security Clearance. Expertise using Microsoft Office products including Word, Excel, PowerPoint, Visio and Teams Hands-on experience managing complex machinery Must be a Citizen of the US and able to obtain unescorted access to a US Nuclear Power Plant Must be able to interface with other members of the project team including other disciplines, client, contractors and vendors with previous experience as an Mathematician or in a similar role Previous experience as a Mathematician or in a similar role The position may require the ability to pass and maintain a DOE Security Clearance. MINIMUM REQUIREMENTS A Bachelor's degree in Applied mathematics or related field required; Master's degree preferred. A Master's Degree in Applied mathematics preferred At least two years working with applied mathematics in relation to engineering preferred. Education typically includes theoretical coursework, hands-on projects, and training with various computer programming programs and technically oriented material subjects, like hydraulics, thermodynamics, and fluid mechanics. Excellent communication, interpersonal, organizational, and analytical skills. Excellent math skills, including advanced geometry, calculus, and physics Should have a bachelor's degree from an institution accredited by the Accreditation Board for Applied mathematics and experience in applied mathematics U.S. Citizenship Required - You must be a United States Citizen Excellent oral and written communication skills (This employer participates in the e-Verify program) Proficient with Microsoft Office Products (Microsoft Word, Excel, PowerPoint, Publisher, & Adobe) All ProSidian staff must be determined eligible for a "Facility Access Authorization" (also referred to as an "Employment Authorization") by the USG's designated Security Office. Other Requirements and Conditions of Employment Apply May be required to complete a Financial Disclosure Statement Must be able to submit to and qualify for varying levels of background investigative requirements, up to a Top Secret or DOE "Q" clearance. 3.6 Personnel Qualifications/Certifications --- all personnel shall have demonstrated experience in Nuclear Safety, Criticality, Radiological Engineering, Health Physics, Fire Protection, or Engineering Technical Support. These individuals must have U.S. citizenship and the ability to maintain DOE site access. 3.6.1 Nuclear and Criticality Safety --- IMC Contractor/SRS or other DOE complex experience is preferred. Criticality personnel are required to obtain or have SRS Nuclear Criticality Safety qualifications (e.g., Criticality Safety Engineer (CSE), Senior Criticality Safety Engineer (SCSE), Criticality Safety Officer (CSO), Associate Criticality Safety Engineer (ACSE)). Radiological Engineering and Health Physics personnel are required to achieve/maintain applicable SRS qualifications. 3.6.2 Fire Protection: Fire protection personnel shall be --- 1. Registered professional engineer in an engineering discipline that encompasses the scope of work being performed. Or 2. Certified National Institute for Certification in Engineering Technologies (NICET) Level III in the applicable NICET subfield for the subject fire protection system (i.e., water-based systems layout, fire alarm systems, inspection and testing of water-based systems, special hazards suppression systems, or special hazards suppression systems, or special hazards systems). Or 3. Manufacturer/Factory trained and certified for the subject fire protection systems/feature. Or 4. Graduate of an accredited engineering curriculum with a minimum of four (4) years of engineering practice, three (3) of which are in design that encompasses the subject fire protection system. 3.6.3 Engineering Technical Support --- IMC Contractor/SRS or other DOE complex experience is preferred. TRAVEL: Occasional travel may be required to attend meetings, events, site visits, or other training requirements. Travel is coordinated with the technical point of contact and approved in writing by the Contracting Officer in advance, as allowed, in accordance with Federal Travel Regulations. LOCATION: Work shall be conducted at or in proximity to Savannah River Site / Aiken, South Carolina WORK HOURS: A 40 hour work week is scheduled. SRS utilizes various work schedules; including 5/8s (8 hours/day; five days per week), 4/10s (10 hours/day; four days per week), and a 9/80s (9 hours/day, five days on week A and 4 days on week B). Work week excludes SRS holidays. Each work day has a 30-minute lunch. Additional Information As a condition of employment, all employees are required to fulfill all requirements of the roles for which they are employed; establish, manage, pursue, and fulfill annual goals and objectives with at least three (3) Goals for each of the firms Eight Prosidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and to support all business development and other efforts on behalf of ProSidian Consulting. CORE COMPETENCIES Teamwork - ability to foster teamwork collaboratively as a participant, and effectively as a team leader Leadership - ability to guide and lead colleagues on projects and initiatives Business Acumen - understanding and insight into how organizations perform, including business processes, data, systems, and people Communication - ability to effectively communicate to stakeholders of all levels orally and in writing Motivation - persistent in pursuit of quality and optimal client and company solutions Agility - ability to quickly understand and transition between different projects, concepts, initiatives, or work streams Judgment - exercises prudence and insight in decision-making process while mindful of other stakeholders and long-term ramifications Organization - ability to manage projects and activity, and prioritize tasks ----------- ------------ ------------ OTHER REQUIREMENTS Business Tools - understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint and Word, and proficient with Adobe Acrobat, data analytic tools, and Visio with the ability to quickly learn other tools as necessary. Commitment - to work with smart, interesting people with diverse backgrounds to solve the biggest challenges across private, public and social sectors Curiosity - the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together Humility - exhibits grace in success and failure while doing meaningful work where skills have impact and make a difference Willingness - to constantly learn, share, and grow and to view the world as their classroom ------------ ------------ ------------ BENEFITS AND HIGHLIGHTS ProSidian Employee Benefits and Highlights: Your good health and well-being are important to ProSidian Consulting. At ProSidian, we invest in our employees to help them stay healthy and achieve work-life balance. That's why we are also pleased to offer the Employee Benefits Program, designed to promote your health and personal welfare. Our growing list of benefits currently include the following for Full Time Employees: Competitive Compensation: Pay range begins in the competitive ranges with Group Health Benefits, Pre-tax Employee Benefits, and Performance Incentives. For medical and dental benefits, the Company contributes a fixed dollar amount each month towards the plan you elect. Contributions are deducted on a Pre-tax basis. Group Medical Health Insurance Benefits: ProSidian partners with BC/BS, to offer a range of medical plans, including high-deductible health plans or PPOs. ||| Group Dental Health Insurance Benefits: ProSidian dental carriers - Delta, Aetna, Guardian, and MetLife. Group Vision Health Insurance Benefits: ProSidian offers high/low vision plans through 2 carriers: Aetna and VSP. 401(k) Retirement Savings Plan: 401(k) Retirement Savings Plans help you save for your retirement for eligible employees. A range of investment options are available with a personal financial planner to assist you. The Plan is a pre-tax Safe Harbor 401(k) Retirement Savings Plan with a company match. Vacation and Paid Time-Off (PTO) Benefits: Eligible employees use PTO for vacation, a doctor's appointment, or any number of events in your life. Currently these benefits include Vacation/Sick days - 2 weeks/3 days | Holidays - 10 ProSidian and Government Days are given. Pre-Tax Payment Programs: Pre-Tax Payment Programs currently exist in the form of a Premium Only Plan (POP). These Plans offer a full Flexible Spending Account (FSA) Plan and a tax benefit for eligible employees. Purchasing Discounts & Savings Plans: We want you to achieve financial success. We offer a Purchasing Discounts & Savings Plan through The Corporate Perks Benefit Program. This provides special discounts for eligible employees on products and services you buy on a daily basis. Security Clearance: Due to the nature of our consulting engagements there are Security Clearance requirements for Engagement Teams handling sensitive Engagements in the Federal Marketplace. A Security Clearance is a valued asset in your professional portfolio and adds to your credentials. ProSidian Employee & Contractor Referral Bonus Program: ProSidian Consulting will pay up to 5k for all referrals employed for 90 days for candidates submitted through our Referral Program. Performance Incentives: Due to the nature of our consulting engagements there are performance incentives associated with each new client that each employee works to pursue and support. Flexible Spending Account: FSAs help you pay for eligible out-of-pocket health care and dependent day care expenses on a pre-tax basis. You determine your projected expenses for the Plan Year and then elect to set aside a portion of each paycheck into your FSA. Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you have the option to elect supplemental life insurance. D&D covers death or dismemberment from an accident only. Short- and Long-Term Disability Insurance: Disability insurance plans are designed to provide income protection while you recover from a disability. ---------- ------------ ------------ ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply ProSidian Consulting is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status, or any other protected factor. All your information will be kept confidential according to EEO guidelines. ProSidian Consulting has made a pledge to the Hiring Our Heroes Program of the U.S. Chamber of Commerce Foundation and the “I Hire Military” Initiative of The North Carolina Military Business Center (NCMBC) for the State of North Carolina. All applicants are encouraged to apply regardless of Veteran Status. Furthermore, we believe in "HONOR ABOVE ALL" - be successful while doing things the right way. The pride comes out of the challenge; the reward is excellence in the work. FOR EASY APPLICATION USE OUR CAREER SITE LOCATED ON ************************* OR SEND YOUR RESUME'S, BIOS, AND SALARY EXPECTATION / RATES TO ***********************. ONLY CANDIDATES WITH REQUIRED CRITERIA ARE CONSIDERED. Be sure to place the job reference code in the subject line of your email. Be sure to include your name, address, telephone number, total compensation package, employment history, and educational credentials.

SFO, CA (Remote until Covid) Mandatory Skills: (Oracle or PostgreSQL) and ETL Pipelines and Big Data and AWS Responsibilities · Uses structured tools for analysis and presentation of concepts and models to enhance the BRD · Develop, maintain and deliver training materials to the supply chain end-users · Work collaboratively with external consultants, internal & external resources throughout the project lifecycle to ensure system modifications meet business needs · Support day to day reporting needs where required · Support production issues as relate to application functionality and integrations Qualifications: · Excellent spoken and written communication skills (verbal and non-verbal) · Proven experience in managing data warehouses and ETL pipelines (Min. 2 years) · Solid scripting capability for analysis and reporting (Strong PL/SQL and expert SQL) coming with a performance mindset as well as functionally precise · Expert SQL development skills with ability to write complex efficient queries for data integration · Strong analytical skills to support BAs and ability to translate user stories / work closely with the tech team · Strong problem-solving skills (Math skills required for data modeling) · Ability to work as a back-end developer (PL/SQL) · Ability to manage and complete multiple tasks within tight deadlines · Possess expert level understanding of software development practices and project life cycles. · Working experience with Java, cloud-native technologies · Must have: Working experience in dealing with big data and data manipulation. · Highly Desired: Familiarity with Oracle retail data structures (Retail Management System / Retail Planning Application System) · Desired: Familiarity with DevOps practices like CICD pipeline · Desired: Retail experience is a plus. (fashion retail experience would be ideal) · Desired: Working experience with cloud platforms namely AWS

We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities * Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. * Partner with the extended data team to define, develop, and maintain shared data models and definitions. * Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. * Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. * Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. * Support incident resolution and perform root cause analysis for data-related issues. * Create and maintain both business requirement and technical requirement documentation * Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications * Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. * Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL * Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). * Experience with modern data platforms like Snowflake and Microsoft Fabric. * Solid understanding of Data Modeling, pipeline orchestration and performance optimization * Strong problem-solving skills and ability to troubleshoot complex data issues. * Excellent communication skills, with the ability to work collaboratively in a team environment. * Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or coordinating with overseas teams is a strong plus Preferred Skills * Knowledge of Airflow or other orchestration tools. * Experience working with Git-based workflows and CI/CD pipelines * Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Job Title: Data Analytics Engineer Reports to: Data Analytics Manager Employment Type: Full-time Seniority Level: Mid-Level Industry: Manufacturing | Mechanical Power Transmission Components | Engineering Services Job Function: Analysis | Data Collection | Data Reporting | Data Modeling Job Summary: The Dodge Industrial Data Analytics Engineer designs, implements, and maintains systems used to collect and analyze business intelligence data. Uses both strategic and analytical frameworks to create dashboards, databases, and other platforms that allow for efficient collection and evaluation of business intelligence data for internal stakeholders. They work closely with stakeholders across the business to understand BI goals and objectives to ensure the systems and their capabilities support competitive research efforts that achieve those goals. The Data Analytics Engineer is a forward-thinking problem solver who can lead the organization in building a modern data reporting platform that will support data science and business intelligence initiatives for years to come. Key Responsibilities: 1. Data Collection & Cleaning • Gather data from various sources (including but not limited to), S/4 HANA, databases, spreadsheets, and APIs. • Ensure data accuracy, consistency, and completeness through rigorous cleaning and validation processes. • Design, build, and maintain scalable data pipelines from SAP S/4 HANA to SAP Datasphere. • Create and maintain API integrations utilizing MuleSoft to extract data from various enterprise systems as well as transfer data between them. 2. Data Modeling • Develop and optimize SQL queries, stored procedures, and other various Datasphere objects to transform and model data. • Transform raw operational data into well-structured, documented analytics models that utilize best practices for efficiency. • Models should be well documented and easy to consume by both lower-level developers and business stakeholders. 3. Data Analysis & Exploration • Conduct exploratory data analysis (EDA) to uncover patterns, trends, and anomalies. • Utilize statistical methods, machine learning, and data visualization techniques to analyze data and derive meaningful insights. • Develop and implement data models to support business objectives. 4. Reporting & Insights • Develop and distribute regular reports on key performance indicators (KPIs) and metrics. • Provide actionable insights and recommendations based on data analysis findings. • Support data-driven decision-making by presenting findings clearly and concisely. Required Qualifications: • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. • Strong SQL Skills. • Demonstrated experience with Microsoft Power BI reporting with proficiency In DAX and Power Query (M). • Experience pulling data from ERP systems - (SAP S4 HANA preferred). • ETL/ELT pipeline management. • Strong Python programming language skills. • Cloud Infrastructure - Azure (Preferred), AWS, GCP. • Data Warehousing - Datasphere (Preferred), Snowflake, Synapse, Redshift. • Data Integration and API Development - (MuleSoft preferred). • Microsoft Ecosystem Experience Strongly Preferred. • Database Administration. • Change Management (Azure DevOps, Git, CD/CI). • Machine Learning and AI experience preferred. • REST API Knowledge. Physical Requirements: • Extended periods of sitting at a workstation. • Speaking in person and over the telephone or Teams online and the ability to hear, comprehend, and document detailed information from others. • Ability to type, reach, and grasp. • Intermittent standing and walking within the office environment. • Ability to communicate verbally and in writing over the phone and in person for extended periods. Essential Job Functions: • Design and implement comprehensive data collection systems and analytics processes. • Develop and maintain complex relational databases, ensuring data integrity, efficiency, and security. • Create and optimize SQL queries for large-scale data extraction and manipulation. • In-person collaboration. • Implement data quality controls and perform regular audits to maintain high data standards. • Ability to understand business requirements and transfer that knowledge to create effective data models and reports using Business Intelligence tools such as Power BI. • Ability to organize and lead the implementation of secure, sustainable, and maintainable data models and pipelines that enable data consumption across all organization functions. • Ability to effectively communicate with teams across all functions to understand business data needs and required transformations to ensure data completeness and accuracy. • Extraction, loading, and transformation of information from SAP S4 HANA to Datasphere, primarily using (but not limited to) CDS Views, SQL and Python. • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines. • No full-time remote available. Position resides at Dodge Industrial headquarters in Simpsonville, SC. • Must have work authorization that permits working for Dodge Industrial in the US. • Fluent in spoken and written English. Why Join Us? • Work alongside a collaborative, experienced leadership team. • Be part of an industry leader with a strong brand reputation and an innovation-driven culture. RBC Bearings is an Equal Opportunity Employer, including disability and protected veteran status.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members. At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals. We offer: Competitive Wages Health/Life Benefits Health Savings Account plus Employer Seed 401(k) Savings Plan with Company Match 3 Weeks of Paid Parental Leave 11 Company Paid Holiday's Paid Time Off including Volunteer Time Vacation Carryover Tuition Reimbursement Work-Life Balance Business Casual Environment Rewards & Recognition Program Employee Assistance Program Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks (for those working onsite or hybrid) To learn more about Purpose Financial visit Purpose Financial Website. Position Summary Purpose Financial is looking for a Data Scientist to join our Data Science team to help support risk management function of our consumer loan portfolio. The ideal candidate will have a strong understanding of data analytics, predictive modeling and is comfortable working with large data sets. This role works closely with the management to perform analysis and help them make informed decisions about lending and managing the risks. Furthermore, this role requires someone who quickly adapts to change and is willing to complete all duties as assigned and requested. Job Responsibility Develop and implement advanced statistical and machine learning models leveraged through the customer lifecycle which includes, (but not limited to) new customer acquisition, underwriting, conversion, collections, and retention. Evaluate the performance of existing models and design experiments to improve model performance via champion/challenger tests. Discover insights from additional data sources to understand/influence consumer financial behavior and continue to enhance machine learning models as additional data becomes available. Independently designs experiments to enable longer term optimization of decisions, line assignment, and offer terms across our menu of financial products and customer segments. Collaborate with Finance and Business Intelligence to build and improve monitoring of portfolio KPIs and product strategy. Develop automated processes and procedures to streamline data analysis and reporting. Monitor trends in relevant KPIs and report on key insights on a regular basis. Stay up to date with the latest developments in data science and machine learning and evaluate how they can be applied to enhance our lending processes Job Responsibilities Cont. Education Required Bachelor's Degree in Computer Science, Economics, Engineering, Mathematics, Statistics, or a related quantitative field. (Advanced Degree preferred.) Experience Required At least 2 years of experience working in an analytical role. Prior experience in developing machine learning models is required. Knowledge Required Experience in building machine learning models using R or Python. Exposure to reporting tools such as Tableau, PowerBI. Experience with the different types of machine learning techniques and the usual Python data science stack (Pandas, scikit-learn, NumPy, XGBoost, SHAP, notebook environments, etc.) is preferred. Working knowledge of SQL. Ability to combine data from multiple sources to analyze and interpret business performance. Excellent written and verbal communications skills as would be needed to communicate in person, by phone, and through email. Adaptability and flexibility to changing environment; and comfortable working in a dynamic, fast-paced environment. Ability to interact professionally and exhibit appropriate social skills. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products. Ability to quickly learn all technology needed to perform the role. Physical Requirements Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location. Competencies Achieve Desired ResultsGo BoldBetter You, Better EveryoneObsess over CustomersGet Sh*t DoneCare. Always.Lead with VisionBe DecisiveOKRShow Up to Coach UpEmbody IntegrityAnalysis/Problem SolvingTravel 5% Attire Business Casual Other Must be eligible to work in the USA and able to pass a background check. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. Requisition ID: 44300

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************