Data scientist jobs in South Dakota

** 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 and WD_BLACK 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 ****************** .

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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. 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) 12. 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 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 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.

***************** 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.

**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.

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 (***************************************************************************************************************************

The Data Analytics Engineer transforms data into clean, reusable, and business-ready datasets that power enterprise reporting, analytics, and AI initiatives. This role bridges the gap between data engineering and data analytics, owning the semantic layer and enabling scalable governed insights across the organization. This candidate must be research oriented, possess strong analytical and problem-solving skills, be able to effectively communicate the value of company data to leaders at all levels, and have experience leading the development of solutions while working with multiple contributors. This person will work closely with managers and technical teams to understand business objectives, contribute to the data strategy, and design solutions that drive data informed outcomes. Qualifications: The ideal candidate will hold a bachelor's degree in a relevant field and possess at least five years of experience in data modeling, analytics, and semantic layer development. Proficiency in SQL, Python, DAX, or other coding languages is required, along with hands-on experience working with Microsoft Fabric, Power BI, SSMS, SSAS, and medallion architecture. A strong understanding of dimensional modeling, semantic consistency, and data governance is essential. Candidates should also have experience implementing CI/CD best practices, managing deployment pipelines, and utilizing version control systems. Familiarity with AI and machine learning data preparation, as well as feature engineering, is highly desirable. Principal Responsibilities: Architect, design, and maintain silver and gold layer datasets using medallion architecture principles while optimizing data pipelines for stability, scalability, and performance. Design, develop, build and optimize semantic models in Microsoft Fabric and SSAS for use with Power BI and other reporting tools. Solve complex semantic and analytics problems with a deep understanding of dimensional modeling. Collaborate with Data Platform to ensure clean, reliable Silver-layer data, advise on the bronze layer design, help debug data pipeline issues and perform data quality checks. Influence technical strategy and decisions within the analytics teams. Partner with Power BI Developers and Data Analysts to develop business rules, advanced analytics, visualizations, reporting and insights. Lead data initiatives end-to-end and act as a technical liaison between analytics, engineering, and business teams. Support AI/ML initiatives by translating business requirements to technical requirements, performing feature engineering and dataset preparation. Design scalable, performant data pipelines, implement and enhance CI/CD and version control processes to promote highly efficient and effective release cycles. Contribute to data governance, document data lineage, semantic meaning of key metrics, and help maintain data dictionaries and glossaries to help enable self-service. Stay current on industry best practices and evolving data platform capabilities to help ensure consistency, performance, integrity, and scalability of analytics solutions. Act in accordance with FBT policies and procedures as set forth in the employee handbook. Adhere to compliance procedures and attend required compliance training. Compensation Grade Salary Grade 7 First Bank & Trust is an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran. Read our complete Equal Employment Opportunity Policy Statement . Applicants who would like to request reasonable accommodation to the application or interview process should call Human Resources at ************ or email ***************.

Apply Description /JOB TITLE: Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally authorized to be employed in the United States on a full-time basis for any position. Omnitech will not provide sponsorship for employment visa status (e.g., H-1B or TN status) for this position.*** ***Onsite position, NO remote. **** Do you have a data-driven, engineering mind and a consulting-type personality? Omnitech is an established, locally owned software engineering firm that specializes in helping businesses create and fulfill opportunities through custom technology solutions. We are a Microsoft Partner that values a community of mentors to cultivate skills and interests that are in line with our client's needs. We understand that the journey to the solution can be just as important as the destination - for both clients and our engineers. As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL) consultant, database administrator consultant, master data management consultant, data analyst, data architect, data scientist to name a few. We don't believe in narrowly defined labels and hierarchy. We believe in helping people solve problems. DESIRED SKILLS: (The applicable candidate must possess a number of the following.) Strong T-SQL skills SQL Server design and development experience Understanding of data profiling techniques Understanding of performance optimization, data warehousing, cube architecture Understanding of common data extraction techniques across a diverse set of sources including structured and non-structured data Experience with data cleansing and conforming techniques Develop standards and best practices to ensure data standardization and consistency as required Strong experience with dimensional modeling, star schema and Kimball Data Warehouse methodologies Design and develop data warehousing solutions for clients across a variety of industries and business sizes utilizing Microsoft's SQL Server Platform Perform the role of subject matter expert for Microsoft Business Intelligence technologies including SQL Server and Analysis Services Knowledge of Multidimensional Expression (MDX) and Data Analysis Expressions (DAX) languages Familiarity with managing dimensional attribute history through Slowly Changing Dimension (SCD) concepts Working knowledge of ETL change detection solutions such as change data capture (CDC) Experience with Big Data technology a plus Understanding of SQL Server FastTrack and/or Parallel Data Warehouse Familiarity with storage technologies (e.g. SAN, NAS, etc.) a plus Translate business requirements and technical designs into well-developed solutions that meet client business goals Ability to explain the pros and cons of architectural decisions Evaluate and recommend new technologies as required Design and implement technology best practices, guidelines and repeatable processes Provide technical assistance and cross training to other team members and clients Participate in the business intelligence community to promote the use of the Microsoft BI platform and general data warehousing best practices Assist in pre-sales, scoping and requirements gathering process Ability to work closely with other project team members such as sales analysts, project managers, and software engineers REQUIREMENTS: 3 years Data experience A Bachelor's Degree in computer science, with emphasis in mathematics, or a similar analytical degree T-SQL, SQL Server, SSIS, SSRS, SSAS Desire for continuous learning and to pursue professional certifications Proven ability to consult and mentor other BENEFITS AND PERKS: Competitive salary with annual reviews Paid Time Off and Paid Holidays Insurance options include Health, Vision, and Supplemental Options Employer-paid Dental, Short-Term and Long-Term Disability Safe Harbor 401(k) with company match Dependent Care Flex Accounts Employee Assistance Program (EAP) Food, snacks, drinks Tuition reimbursement PERSONAL CHARACTERISTICS: Excellent communication, presentation, and interpersonal skills, confident with customers Detail-oriented, well-organized, and excellent ability to multi-task Energetic, comfortable working in a fast-paced environment Hard-working and motivated, able to take initiative and meet deadlines Comfortable working in a team-based environment A hands-on attitude in a friendly work environment. If you excel in a team centric learning environment and you're passionate about technology, please apply. **Omnitech participates in E-Verify and will provide the federal government with Form I-9 information to confirm work authorization. **Omnitech is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

/JOB TITLE: Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally authorized to be employed in the United States on a full-time basis for any position. Omnitech will not provide sponsorship for employment visa status (e.g., H-1B or TN status) for this position.*** *** On-site position, NO remote. **** Do you have a data-driven, engineering mind and a consulting-type personality? Omnitech is an established, locally owned software engineering firm specializing in helping businesses create and fulfill opportunities through custom technology solutions. We are a Microsoft Partner that values a community of mentors to cultivate skills and interests that align with our clients' needs. We understand that the journey to the solution can be just as important as the destination - for clients and our engineers. As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL/ELT) consultant, database administrator consultant, data analyst, data architect, data scientist to name a few. We don't believe in narrowly defined labels and hierarchy. We believe in helping people solve problems. DESIRED SKILLS: (The applicable candidate must possess a number of the following.) Strong T-SQL skills SQL Server design and development experience Understanding of data profiling techniques Understanding of performance optimization, data warehousing Understanding of common data extraction techniques across a diverse set of sources including structured and non-structured data Experience with data cleansing and conforming techniques using ETL/ELT processes Develop standards and best practices to ensure data standardization and consistency as required Strong experience with dimensional modeling, star schema and Kimball Data Warehouse methodologies Design and develop data warehousing solutions for clients across a variety of industries and business sizes utilizing Microsoft's SQL Server Platform Perform the role of subject matter expert for Microsoft Business Intelligence technologies including Power BI and Microsoft Fabric Knowledge of Semantic models and Data Analysis Expressions (DAX) Experience with Big Data technology (e.g. Spark, Parquet) a plus Familiarity with storage technologies (e.g. SAN, NAS, etc.) a plus Translate business requirements and technical designs into well-developed solutions that meet client business goals Ability to explain the pros and cons of architectural decisions Evaluate and recommend new technologies as required Design and implement technology best practices, guidelines and repeatable processes Provide technical assistance and cross training to other team members and clients Participate in the business intelligence community to promote the use of the Microsoft BI platform and general data warehousing best practices Assist in pre-sales, scoping and requirements gathering process Ability to work closely with other project team members such as sales analysts, project managers, and software engineers REQUIREMENTS: 3 years Data experience A Bachelor's Degree in computer science, with emphasis in mathematics, or a similar analytical degree T-SQL, SQL Server, ETL/ELT, Cloud Data Platforms Desire for continuous learning and to pursue professional certifications Proven ability to consult and mentor others BENEFITS AND PERKS: Competitive salary with annual reviews Paid Time Off and Paid Holidays Insurance options include Health, Vision, and Supplemental Options Employer-paid Dental, Short-Term and Long-Term Disability Safe Harbor 401(k) with company match Dependent Care Flex Accounts Employee Assistance Program (EAP) Food, snacks, drinks Tuition reimbursement PERSONAL CHARACTERISTICS: Excellent communication, presentation, and interpersonal skills, confident with customers Detail-oriented, well-organized, and excellent ability to multi-task Energetic, comfortable working in a fast-paced environment Hard-working and motivated, able to take initiative and meet deadlines Comfortable working in a team-based environment A hands-on attitude in a friendly work environment. If you excel in a team centric learning environment and you're passionate about technology, please apply. **Omnitech participates in E-Verify and will provide the federal government with Form I-9 information to confirm work authorization. **Omnitech is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Title: Data Engineer Reports to: Senior Director of Operations Job Description: Sterling is seeking a highly motivated and skilled Data Engineer to join our growing team. In this role, you will be instrumental in building, maintaining, and optimizing our data infrastructure, enabling data-driven decision-making across the organization. If you're passionate about working with cutting-edge technologies, thriving in an agile environment, and collaborating closely with other technical experts, we want to hear from you! As a Data Engineer, you will be a key player in our data ecosystem, responsible for the design, development, and maintenance of robust and scalable data pipelines. You will work with a variety of data sources, ensuring data quality, accessibility, and reliability. This role requires a blend of strong technical skills, an eagerness to learn, and communication abilities to gather requirements and collaborate effectively. Primary Responsibilities * Data Pipeline Ownership: Design, build, deploy, and maintain resilient and efficient data pipelines using Databricks and Python, ensuring data is accurately and timely delivered to various stakeholders. * Greenfield Development: Lead and contribute to the design and implementation of new data solutions and platforms from inception, bringing innovative approaches to our data architecture. * Data Platform Modernization: Actively participate in the modernization of our existing data platforms, enhancing their scalability, efficiency, and capabilities. * Data Curation: Curate, prepare, and provide high-quality datasets for consumption by data analytics teams, data scientists, and machine learning engineers, ensuring data readiness for various analytical and modeling needs with high visibility. * Data Catalog Management: Take ownership of our data catalog, ensuring it is comprehensive, accurate, and up-to-date, facilitating data discovery and governance. * SQL Expertise: Develop complex SQL queries for data extraction, transformation, and loading (ETL) processes, and optimize existing queries for performance. * Requirement Gathering & Collaboration: Proactively engage with cross-functional teams to understand data needs, gather detailed requirements, and translate them into technical solutions. * Agile Development: Participate actively in our Agile Scrum methodology, including sprint planning, daily stand-ups, and retrospectives, contributing to continuous improvement. * Problem Solving & Troubleshooting: Identify, diagnose, and resolve data-related issues, ensuring data integrity and system stability. * Innovation & Best Practices: Stay abreast of the latest industry trends and technologies in data engineering, advocating for and implementing best practices to keep our data platform at the cutting edge. Qualifications * Databricks Proficiency: Proven experience with Databricks, including Spark, Delta Lake, and related services, for large-scale data processing. * Python Programming: Strong proficiency in Python for data manipulation, scripting, and pipeline development. * SQL Mastery: Expert-level SQL skills with experience in optimizing complex queries. * Agile Methodologies: Solid understanding and practical experience with Agile Scrum development processes and tools like Jira. * Collaboration & Communication: Excellent interpersonal skills with a demonstrated ability to work effectively in a team environment, communicate technical concepts to non-technical audiences, and gather precise requirements. * Ownership & Accountability: A strong sense of ownership over data pipelines and data quality, with a proactive approach to problem-solving and maintenance. * Adaptability & Excitement: Eagerness to learn new technologies, adapt to evolving challenges, and contribute to a fast-paced, innovative data team. What We Offer * A dynamic and collaborative work environment where your contributions make a real impact. * Opportunities to work with state-of-the-art data technologies and learn continuously. * A culture that values innovation, continuous improvement, and professional growth. * Competitive salary and benefits package. If you are a driven Data Engineer looking for an exciting opportunity to shape our data landscape and work with a passionate team, apply now! Sterling Computers Corporation ("Sterling") is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.

Title: Data Engineer Reports to: Senior Director of Operations Job Description: Sterling is seeking a highly motivated and skilled Data Engineer to join our growing team. In this role, you will be instrumental in building, maintaining, and optimizing our data infrastructure, enabling data-driven decision-making across the organization. If you're passionate about working with cutting-edge technologies, thriving in an agile environment, and collaborating closely with other technical experts, we want to hear from you! As a Data Engineer, you will be a key player in our data ecosystem, responsible for the design, development, and maintenance of robust and scalable data pipelines. You will work with a variety of data sources, ensuring data quality, accessibility, and reliability. This role requires a blend of strong technical skills, an eagerness to learn, and communication abilities to gather requirements and collaborate effectively. Primary Responsibilities Data Pipeline Ownership: Design, build, deploy, and maintain resilient and efficient data pipelines using Databricks and Python, ensuring data is accurately and timely delivered to various stakeholders. Greenfield Development: Lead and contribute to the design and implementation of new data solutions and platforms from inception, bringing innovative approaches to our data architecture. Data Platform Modernization: Actively participate in the modernization of our existing data platforms, enhancing their scalability, efficiency, and capabilities. Data Curation: Curate, prepare, and provide high-quality datasets for consumption by data analytics teams, data scientists, and machine learning engineers, ensuring data readiness for various analytical and modeling needs with high visibility. Data Catalog Management: Take ownership of our data catalog, ensuring it is comprehensive, accurate, and up-to-date, facilitating data discovery and governance. SQL Expertise: Develop complex SQL queries for data extraction, transformation, and loading (ETL) processes, and optimize existing queries for performance. Requirement Gathering & Collaboration: Proactively engage with cross-functional teams to understand data needs, gather detailed requirements, and translate them into technical solutions. Agile Development: Participate actively in our Agile Scrum methodology, including sprint planning, daily stand-ups, and retrospectives, contributing to continuous improvement. Problem Solving & Troubleshooting: Identify, diagnose, and resolve data-related issues, ensuring data integrity and system stability. Innovation & Best Practices: Stay abreast of the latest industry trends and technologies in data engineering, advocating for and implementing best practices to keep our data platform at the cutting edge. Qualifications Databricks Proficiency: Proven experience with Databricks, including Spark, Delta Lake, and related services, for large-scale data processing. Python Programming: Strong proficiency in Python for data manipulation, scripting, and pipeline development. SQL Mastery: Expert-level SQL skills with experience in optimizing complex queries. Agile Methodologies: Solid understanding and practical experience with Agile Scrum development processes and tools like Jira. Collaboration & Communication: Excellent interpersonal skills with a demonstrated ability to work effectively in a team environment, communicate technical concepts to non-technical audiences, and gather precise requirements. Ownership & Accountability: A strong sense of ownership over data pipelines and data quality, with a proactive approach to problem-solving and maintenance. Adaptability & Excitement: Eagerness to learn new technologies, adapt to evolving challenges, and contribute to a fast-paced, innovative data team. What We Offer A dynamic and collaborative work environment where your contributions make a real impact. Opportunities to work with state-of-the-art data technologies and learn continuously. A culture that values innovation, continuous improvement, and professional growth. Competitive salary and benefits package. If you are a driven Data Engineer looking for an exciting opportunity to shape our data landscape and work with a passionate team, apply now! Sterling Computers Corporation (“Sterling”) is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

**_About_** **_this_** **_position_** ** At Henkel, you'll be part of an organization that's shaping the future through innovation, sustainability and collaboration. With our trusted brands like Persil , 'all , Loctite , Snuggle , and Schwarzkopf and our cutting-edge technologies, you'll have countless opportunities to explore new paths and grow. This position is with our Adhesive Technologies business unit - where we empower our people to transform industries and provide our customers with a competitive advantage through adhesives, sealants and functional coatings. **Dare to learn new skills, advance in your career and make an impact at Henkel.** **What you´ll do** + This position is responsible for the implementation of project work to enhance Manufacturing Execution Systems (MES) and applications. + The Data Analysis Engineer is responsible for trouble shooting complex systems-based issues in a fast-paced manufacturing environment. + As the Manufacturing Engineering Team works on process improvement projects, the Data Analysis Engineer will play an active and critical role by providing data and insights to help achieve the greatest positive impact. + Leverage data and technology to improve organizational efficiency + Identify improvement opportunities through analysis of factory operational data + Responsible for analyzing and summarizing existing process needs, establishing future data models, and working cooperatively with external resources to develop data informed solutions + Identify and implement solutions for short- and long-term systems issues through solid root cause analysis + Identify opportunities for digitization and / or automation + Acts as a subject matter expert for the discernment of systems and automation project feasibility + Responsible for the execution of MES project deployment + Acts as the local factory's primary contact with Henkel IT and third part resources + Develops and conducts training to all levels of MES users + Works closely and collaboratively with factory engineers to support daily operations and improvement projects + Ensures the security of operational systems and data **What makes you a good fit** + Collects and analyzes data; able to use statistical tools to validate data findings + Responds well to questions; able to clearly articulate thinking; can present in front of a team + Able to create documents, e.g. project summaries, process instructions, training materials, etc., that are clear and effective + Ability to work with teams and work through conflict in a professional manner + Proficient with Microsoft products, e.g., Excel, Power BI, etc. + Can demonstrate Problem Solving and Project Management skillset + Experience in manufacturing environments + Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams, at all levels + Ability to plan, manage, and execute complex project activities to a successful conclusion while demonstrating a strong work ethic experience + Bachelor's Degree in: Computer Information Systems, Computer Science, Business Technology, or similar + Experience with SAP, MES/DCS/PLC or SCADA systems + VBA and/or Python coding knowledge (VBA preferred) **Some benefits of joining Henkel** + Health Insurance: affordable plans for medical, dental, vision and wellbeing starting on day 1 + Work-Life Balance: Paid time off including sick, vacation, holiday and volunteer time, and vacation buy / sell program + Financial: 401k matching, employee share plan with voluntary investment and Henkel matching shares, annual performance bonus, service awards and student loan reimbursement + Family Support: 12-week gender neutral parental leave (up to 20 weeks for parents giving birth), fertility support, adoption & surrogacy reimbursement, discounted child and elderly care, and scholarships + Career Growth: diverse national and international growth opportunities, access to thousands of skills development courses, and tuition reimbursement The salary for this role is $70,000.00 - $93,000.00. This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range. This salary range may also be modified in the future. Henkel does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Henkel property and therefore, Henkel will not pay a fee for any placement resulting from the receipt of an unsolicited referral. Henkel 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 categories. **JOB ID:** 25085364 **Job Locations:** United States, SD, Brandon, SD **Contact information for application-related questions:** ***************************** Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted. **Application Deadline:** As long as the vacancy is listed on our Career Site, we are happy to receive your application **Job-Center:** If you have an application already, you can create or log in to your accounthere (******************************************************************************************************************************************************** to check the status of your application. In case of new account creation, please use your email address that you applied with. Activate external content When clicking the button below external content will be loaded which involves transfer of personal data (e.g. IP address) to external servers. This may involve that cookies are set by the external content provider. Please see Data Protection Statement for further information. **Accept for all YouTube content** Deactivate loading external content from YouTube. How is work at Henkel

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.

**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 (***************************************************************************************************************************

**This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.** **What You'll Do** + Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards + Create and maintain optimal data pipeline architecture + You will assemble large, complex data sets that meet functional / non-functional business requirements + You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. + Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics + Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs + Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members **Your Skills & Abilities (Required Qualifications)** + Bachelor's degree in business administration, marketing, communications, information systems or related field + 7 or more years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. + At least 3 years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc. + You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra + Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer + Stream-processing systems: Storm, Spark-Streaming, etc. + Ability to tackle problems quickly and completely + Ability to identify tasks which require automation and automate them + A demonstrable understanding of networking/distributed computing environment concepts + Ability to multi-task and stay organized in a dynamic work environment **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. + AWS cloud services: EC2, EMR, RDS, Redshift 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: $125,000 - $205,100. 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. 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Job DescriptionDescription: /JOB TITLE: Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally authorized to be employed in the United States on a full-time basis for any position. Omnitech will not provide sponsorship for employment visa status (e.g., H-1B or TN status) for this position.*** *** On-site position, NO remote. **** Do you have a data-driven, engineering mind and a consulting-type personality? Omnitech is an established, locally owned software engineering firm specializing in helping businesses create and fulfill opportunities through custom technology solutions. We are a Microsoft Partner that values a community of mentors to cultivate skills and interests that align with our clients' needs. We understand that the journey to the solution can be just as important as the destination - for clients and our engineers. As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL/ELT) consultant, database administrator consultant, data analyst, data architect, data scientist to name a few. We don't believe in narrowly defined labels and hierarchy. We believe in helping people solve problems. DESIRED SKILLS: (The applicable candidate must possess a number of the following.) Strong T-SQL skills SQL Server design and development experience Understanding of data profiling techniques Understanding of performance optimization, data warehousing Understanding of common data extraction techniques across a diverse set of sources including structured and non-structured data Experience with data cleansing and conforming techniques using ETL/ELT processes Develop standards and best practices to ensure data standardization and consistency as required Strong experience with dimensional modeling, star schema and Kimball Data Warehouse methodologies Design and develop data warehousing solutions for clients across a variety of industries and business sizes utilizing Microsoft's SQL Server Platform Perform the role of subject matter expert for Microsoft Business Intelligence technologies including Power BI and Microsoft Fabric Knowledge of Semantic models and Data Analysis Expressions (DAX) Experience with Big Data technology (e.g. Spark, Parquet) a plus Familiarity with storage technologies (e.g. SAN, NAS, etc.) a plus Translate business requirements and technical designs into well-developed solutions that meet client business goals Ability to explain the pros and cons of architectural decisions Evaluate and recommend new technologies as required Design and implement technology best practices, guidelines and repeatable processes Provide technical assistance and cross training to other team members and clients Participate in the business intelligence community to promote the use of the Microsoft BI platform and general data warehousing best practices Assist in pre-sales, scoping and requirements gathering process Ability to work closely with other project team members such as sales analysts, project managers, and software engineers REQUIREMENTS: 3 years Data experience A Bachelor's Degree in computer science, with emphasis in mathematics, or a similar analytical degree T-SQL, SQL Server, ETL/ELT, Cloud Data Platforms Desire for continuous learning and to pursue professional certifications Proven ability to consult and mentor others BENEFITS AND PERKS: Competitive salary with annual reviews Paid Time Off and Paid Holidays Insurance options include Health, Vision, and Supplemental Options Employer-paid Dental, Short-Term and Long-Term Disability Safe Harbor 401(k) with company match Dependent Care Flex Accounts Employee Assistance Program (EAP) Food, snacks, drinks Tuition reimbursement PERSONAL CHARACTERISTICS: Excellent communication, presentation, and interpersonal skills, confident with customers Detail-oriented, well-organized, and excellent ability to multi-task Energetic, comfortable working in a fast-paced environment Hard-working and motivated, able to take initiative and meet deadlines Comfortable working in a team-based environment A hands-on attitude in a friendly work environment. If you excel in a team centric learning environment and you're passionate about technology, please apply. **Omnitech participates in E-Verify and will provide the federal government with Form I-9 information to confirm work authorization. **Omnitech is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Requirements:

Title: Data Engineer Reports to: Senior Director of Operations Job Description: Sterling is seeking a highly motivated and skilled Data Engineer to join our growing team. In this role, you will be instrumental in building, maintaining, and optimizing our data infrastructure, enabling data-driven decision-making across the organization. If you're passionate about working with cutting-edge technologies, thriving in an agile environment, and collaborating closely with other technical experts, we want to hear from you! As a Data Engineer, you will be a key player in our data ecosystem, responsible for the design, development, and maintenance of robust and scalable data pipelines. You will work with a variety of data sources, ensuring data quality, accessibility, and reliability. This role requires a blend of strong technical skills, an eagerness to learn, and communication abilities to gather requirements and collaborate effectively. Primary Responsibilities Data Pipeline Ownership: Design, build, deploy, and maintain resilient and efficient data pipelines using Databricks and Python, ensuring data is accurately and timely delivered to various stakeholders. Greenfield Development: Lead and contribute to the design and implementation of new data solutions and platforms from inception, bringing innovative approaches to our data architecture. Data Platform Modernization: Actively participate in the modernization of our existing data platforms, enhancing their scalability, efficiency, and capabilities. Data Curation: Curate, prepare, and provide high-quality datasets for consumption by data analytics teams, data scientists, and machine learning engineers, ensuring data readiness for various analytical and modeling needs with high visibility. Data Catalog Management: Take ownership of our data catalog, ensuring it is comprehensive, accurate, and up-to-date, facilitating data discovery and governance. SQL Expertise: Develop complex SQL queries for data extraction, transformation, and loading (ETL) processes, and optimize existing queries for performance. Requirement Gathering & Collaboration: Proactively engage with cross-functional teams to understand data needs, gather detailed requirements, and translate them into technical solutions. Agile Development: Participate actively in our Agile Scrum methodology, including sprint planning, daily stand-ups, and retrospectives, contributing to continuous improvement. Problem Solving & Troubleshooting: Identify, diagnose, and resolve data-related issues, ensuring data integrity and system stability. Innovation & Best Practices: Stay abreast of the latest industry trends and technologies in data engineering, advocating for and implementing best practices to keep our data platform at the cutting edge. Qualifications Databricks Proficiency: Proven experience with Databricks, including Spark, Delta Lake, and related services, for large-scale data processing. Python Programming: Strong proficiency in Python for data manipulation, scripting, and pipeline development. SQL Mastery: Expert-level SQL skills with experience in optimizing complex queries. Agile Methodologies: Solid understanding and practical experience with Agile Scrum development processes and tools like Jira. Collaboration & Communication: Excellent interpersonal skills with a demonstrated ability to work effectively in a team environment, communicate technical concepts to non-technical audiences, and gather precise requirements. Ownership & Accountability: A strong sense of ownership over data pipelines and data quality, with a proactive approach to problem-solving and maintenance. Adaptability & Excitement: Eagerness to learn new technologies, adapt to evolving challenges, and contribute to a fast-paced, innovative data team. What We Offer A dynamic and collaborative work environment where your contributions make a real impact. Opportunities to work with state-of-the-art data technologies and learn continuously. A culture that values innovation, continuous improvement, and professional growth. Competitive salary and benefits package. If you are a driven Data Engineer looking for an exciting opportunity to shape our data landscape and work with a passionate team, apply now! Sterling Computers Corporation (“Sterling”) is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.

**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry. The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** Day-to-Day Responsibilities + Work in balanced teams consisting of Product Managers, Product Designers, and engineers + Test first - We strive for Test-Driven Development (TDD) for all production code + CI (Continuous Integration) everything - Automation is core to our development process + Architect user-facing interfaces and design functions that help users visualize and interact with their data + Contribute to both frontend and backend codebases to enhance and develop projects + Build software at a sustainable pace to ensure longevity, reliability, and higher quality output Frontend Development + Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript + Build reusable component libraries and implement best practices for frontend architecture + Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency + Optimize applications for maximum speed, scalability, and accessibility + Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees Backend Development + Develop and maintain RESTful APIs and backend services using Python or Java + Design and implement data models and database schemas + Deploy to cloud environments (primarily AWS) + Integrate with third-party services and APIs + Write clean, maintainable, and well-documented code Palantir Foundry Development (Highly Preferred) + Build custom applications and integrations within the Palantir Foundry platform + Develop Ontology-based applications leveraging object types, link types, and actions + Create data pipelines and transformations using Python transforms + Implement custom widgets and user experiences using the Foundry SDK + Design and build functions that assist users to visualize and interact with their data Product Development & Delivery + Research problems and break them into deliverable parts + Work with a Lean mindset and deliver value quickly + Participate in all stages of the product development and deployment lifecycle + Conduct code reviews and provide constructive feedback to team members + Work with product managers and stakeholders to define requirements and deliverables + Contribute to architectural decisions and technical documentation **What We're Looking For:** + Experience with Palantir Foundry platform, required + 5+ years in web front-end or mobile development + Bachelor's or Master's degree in Computer Science or other related field, preferred + Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development + Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin + Experience with RESTful API design and development + Experience deploying to cloud environments (AWS preferred) + Understanding of version control systems, particularly GitHub + Experience with relational and/or NoSQL databases + Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn) + Experience with React, including React Native for mobile app development, preferred + Experience in Android or iOS development, preferred + Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred + Familiarity with CI/CD pipelines and DevOps practices, preferred + Experience with Spring framework, preferred + Working knowledge of Lean, User Centered Design, and Agile methodologies + Strong communication skills and ability to collaborate effectively across teams + Growth mindset - Aptitude and willingness to learn new technologies + Empathy - Kindness and empathy when building software for end users + Pride - Takes pride in engineering excellence and quality craftsmanship + Customer obsession - Obsessed with the end user experience of products + Strong problem-solving skills and attention to detail + Ability to work independently and as part of a balanced, multi-disciplinary team + Self-motivated with a passion for continuous learning and improvement **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, 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. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle 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:** $121,600 - $173,700 **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:** 11/05/2025 *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. _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 (***************************************************************************************************************************