Senior 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 ****************** .

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

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

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.

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

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.

**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. 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.

/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:** 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

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 account here 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 ACCEPT AND PLAY Deactivate loading external content from YouTube. How is work at Henkel About Henkel Building on a strong legacy of almost 150 years, we are leading the way to reimagine and improve life every day. Today and for generations to come. Through our innovative and sustainable brands and technologies, across our teams around the world. Henkel holds leading positions in both industrial and consumer businesses: Our portfolio includes well-known hair care products, laundry detergents, fabric softeners as well as adhesives, sealants, and functional coatings.

**Become a part of our caring community and help us put health first** The Senior Data and Reporting Professional manages information from various sources, transforming and loading data while enforcing accuracy and integrity in order to support ongoing reporting and analytics efforts. The Senior Data and Reporting Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The ability to own and understand data within a given domain is key to success. The Senior Data and Reporting Professional integrates data from multiple sources to produce required data elements. Programs and maintains data pipelines and scheduled ETL (Extract, Transform, Load) jobs to support information dashboards, canned reports and other end-user information portals or resources. May create specifications for reports based on business requests. Begins to influence business strategy by representing technical issues and options effectively to stakeholders. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. The ideal candidate has the ability to understand complex data and systems while also possessing a drive to simplify and streamline processes. Candidates should have a passion for automation and be able to provide examples of manual processes they've automated. **Use your skills to make an impact** **Required Qualifications** + 5 or more years of technical experience in managing data and ETL processes + Advanced experience with SQL development in an environment utilizing SQL server and Oracle databases + Significant experience in the development and testing of SQL Server Integration Services (SSIS) projects using Microsoft Visual Studio + Use of Microsoft Excel to organize, analyze, and report data + Experience working with large, complex datasets within large organizations + Proficiency in verbal and written communication + Strong organizational skills and ability to manage multiple or competing priorities + Strong analytical and problem-solving skills + Must be passionate about contributing to an organization focused on continuously improving consumer experiences **Preferred Qualifications** + Experience with SQL Server administration and query performance tuning + Experience with healthcare and prior authorization data + Experience managing data and pipelines in a Databricks environment + Experience with navigating change management processes in a large enterprise environment + Experience working with an enterprise scheduling system to manage job execution Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $73,400 - $100,100 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 01-08-2026 **About us** About CenterWell Senior Primary Care: CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness visits, physical exams, chronic condition management, screenings, minor injury treatment and more. Our unique care model focuses on personalized experiences, taking time to listen, learn and address the factors that impact patient well-being. Our integrated care teams, which include physicians, nurses, behavioral health specialists and more, spend up to 50 percent more time with patients, providing compassionate, personalized care that brings better health outcomes. We go beyond physical health by also addressing other factors that can impact a patient's well-being. About CenterWell, a Humana company: CenterWell creates experiences that put patients at the center. As the nation's largest provider of senior-focused primary care, one of the largest providers of home health services, and fourth largest pharmacy benefit manager, CenterWell is focused on whole-person health by addressing the physical, emotional and social wellness of our patients. As part of Humana Inc. (NYSE: HUM), CenterWell offers stability, industry-leading benefits, and opportunities to grow yourself and your career. We proudly employ more than 30,000 clinicians who are committed to putting health first - for our teammates, patients, communities and company. By providing flexible scheduling options, clinical certifications, leadership development programs and career coaching, we allow employees to invest in their personal and professional well-being, all from day one. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Centerwell, a wholly owned subsidiary of Humana, complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our full accessibility rights information and language options *************************************************************

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. 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* * Perform analyses on products to answer open-ended questions and provide strategic recommendations. * Design and guide experiments/analysis to measure impact and drive product improvements. * Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis. *What we look for in you:* * At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience. * Experience driving impact for a digital product with an iterative development cycle. * Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.). * Experience in data analyses using SQL. * Experience in programming/modeling in Python. * 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 \#LI-Remote *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: $152,405-$179,300 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 ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *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

**_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 (***************************************************************************************************************************

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. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/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.

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

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.