Senior data scientist jobs in Louisville, KY - 62 jobs

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:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** 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

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $170,800 - $200,720 - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Team:** The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build infrastructure, metrics, insights, and models. Our team of data scientists is dedicated to designing and deploying advanced data solutions that enable organizations across the globe harness the power of real-time data. We focus on driving actionable insights and optimizing business outcomes across our customers' data ecosystems. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within our high-growth company. **About the Role:** As a Senior Data Scientist at Confluent, you will be a key player in helping define the product roadmap and driving revenue growth at Confluent. You will collaborate with our Product team and cross-functional partners across the organization. You will use data and analysis to identify and solve challenges, unlocking growth and adoption across our suite of products. This role requires a strong blend of technical skills, strategic thinking and leadership skills to influence strategy and investment decisions. **What You Will Do:** + Own prioritization for your domain and collaborate with product managers, engineers, marketing leads, and other stakeholders to define the data science roadmap for your product area + Work across the org to define and measure success metrics for new features and initiatives + Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making + Peer review teammates' work and provide feedback, working to upskill more junior team members **What You Will Bring:** + Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. + 7+ years of experience in Data Science/Analytics + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Exceptional problem solving skills and analytical skills + Strong proficiency in data manipulation with data querying languages (e.g. SQL) and scripting languages (e.g. Python). + Proficiency in data visualization and building dashboards with tools such as Tableau + Experience with A/B testing and experiment best practices + Experience and knowledge of causal inference, machine learning and other advanced analytical methods + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Experience in SaaS/Product-led Growth companies **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

**Anywhere** **Type:** Permanent **Category:** Development **Industry:** Retail **Workplace Type:** Remote **Reference ID:** JN -122025-104840 **Shortcut:** ********************************** + Description + Recommended Jobs **Description:** A leading home improvement specialty retailer operating 2,300+ stores across the U.S., Canada, and Mexico is seeking a talented Sr. Data Scientist to drive business profitability and customer experience through advanced analytics. This is a hybrid role working 4 days/week onsite near Smyrna. Relocation assistance is available if needed. _This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis._ _Rate: $150k - $160k / yr. w2_ **Responsibilities:** - Design and develop sophisticated algorithms and models using large datasets - Create business insights through advanced analytical methodologies - Collaborate with cross-functional teams to solve complex business challenges - Mentor junior data science team members - Identify and leverage new business opportunities through data science **Experience Requirements:** - Demonstrated experience in pricing analytics or optimization - Strong understanding of prescriptive pricing and dealer discounting strategies - Experience with operations research and optimization value space problems - Strong Python programming skills - Demonstrated ability to communicate technical insights to business leaders Preferred Skills: - Experience with Google BigQuery, SQL - Optimization tools (e.g., Gurobi) - Tableau or similar data visualization software **Education Requirements:** - Master's or PhD in Computer Science, Math, Statistics, or related field **_Recruitment Transparency Notice_** **_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_** **_noreply@eliassen.com_** **_, ************* inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._** _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._ _W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._ _Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact_ _********************_ _._ _About Eliassen Group:_ _Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._ _Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._ _Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!_

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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

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. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#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: $104,000-$130,000 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 (**************************************** .

The Company Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 45 years. Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We celebrate our unique history as the pioneers of scientific breakthroughs that have an incredible track record of improving lives. And yet, our ambitions are bigger and bolder. Together, we are united in a bold quest to solve the world's most complex health challenges and serve society. Our ability to bring transformative medicines to patients depends on the positive experience, engagement and resilience of everyone who works here. Our employees are the heart of Genentech and the driving force behind the progress that brings important new medicines to the people who need them. We believe a great people experience is critical for revolutionizing healthcare and that's why we're committed to cultivating an environment where people feel valued, included and able to thrive. The Opportunity As the Principal Supply Chain Data Scientist, you will lead advanced analytical initiatives to optimize pharmaceutical distribution processes, leveraging cutting-edge data science methodologies and technologies. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision-making. Reporting directly to the Head of Business Excellence, you will drive advanced analytics, process optimization, and strategic supply chain insights. This position combines technical expertise, leadership, and collaboration to impact the broader supply chain ecosystem. What You'll Do Advanced Data Analysis & Predictive Modeling: Design, implement, and validate advanced algorithms and predictive models to solve supply chain challenges in a high-pace distribution operation. Apply machine learning, statistical methods, and optimization techniques to enhance forecasting, inventory management, and logistics planning. Analyze large datasets and business systems to identify trends, patterns, and innovative opportunities using data mining tools and statistical approaches. Develop advanced AI-driven tools for improved planning accuracy, distribution efficiency, and warehouse operations. Develop and maintain reports and dashboards using Tableau. Generate and distribute reports using SQL Reporting Services. Supply Chain Distribution Optimization & Innovation: Develop and implement distribution plans to optimize product movement from manufacturing facilities to customers. Create and execute detailed schedules for deliveries, warehouse operations, and related activities. Effectively manage warehouse capacity modeling and assessments to ensure accurate and timely insights. Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvement Plan inbound/outbound logistics to meet daily and weekly distribution schedules. Plan efficient delivery routes and schedules for cost-effective transportation of medications. Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost-effectiveness. Drive the creation of digital twin models for scenario planning and strategic decision-making, ensuring efficient and sustainable supply chain practices. Evaluate and propose innovation opportunities through investment modeling and process improvements. Strategic Impact & Communication: Serve as a strategic advisor, translating business challenges into actionable, data-driven insights. Present findings, recommendations, and strategic plans to senior leadership, aligning advanced analytics with organizational goals. Act as the subject matter expert in supply chain analytics, providing guidance across initiatives and projects. Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations. Performance Monitoring, Accurate Reporting, Improvement, and Problem Solving: Track key performance indicators (KPIs) such as on-time delivery rates, inventory turns, and order fulfillment rates to identify areas for improvement. Analyze performance data to identify issues and implement changes to enhance efficiency and customer service. Address disruptions in the distribution process promptly and develop contingency plans for potential risks. Regularly review performance metrics and adjust processes for ongoing optimization. Use advanced planning systems and AI-driven tools to improve planning accuracy and optimize warehouse operations. Create comprehensive documentation and reports to communicate insights and recommendations. Regulatory Compliance: Ensure compliance with relevant regulations and guidelines related to pharmaceutical distribution and supply chain management. Business Intelligence (BI): Create, implement, and manage data integration workflows using SQL Integration Services. Develop multidimensional cubes and tabular models in SQL Analysis Services. Ensure data integrity, accuracy, and security across all BI systems. Continuously improve BI processes and methodologies to enhance efficiency and effectiveness. Who You Are Bachelor's degree in a quantitative or technical field (e.g., Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required. Advanced degrees (Master's, PhD) in the same fields strongly preferred, with demonstrated expertise in supply chain analytics. Previous Experience: Over 10 years of experience in supply chain analytics, business intelligence, or advanced data science roles, with a minimum of 8 years in advanced supply chain analytics. Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred. Technical Knowledge / Skills / Competencies: Proficiency in Python, SQL, and cloud-based tools with experience in developing machine learning models and optimization algorithms. Hands-on experience with advanced statistical and machine learning packages (e.g., scikit-learn, TensorFlow, R). Skilled in optimization tools (e.g., Gurobi, CPLEX) and inventory management platforms. Deep understanding of supply chain management principles, including forecasting, inventory optimization, logistics planning, and procurement. In-depth experience with pharmaceutical distribution requirements, industry standards, and compliance regulations. Familiarity with warehouse operations, capacity planning, network design, and space utilization analysis. Familiarity with SQL Integration Services, SQL Analysis Services, and SQL Reporting Services. Relocation funding is not available for this role. The expected salary range for this position based on the primary location of Louisville, Kentucky is $127,100 - $236,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. You'll have... Bachelor's degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline. Proficiency in tools and programming languages such as Python, R, SQL, or similar. Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis is desirable. Strong skills in handling structured and unstructured datasets for reporting and modeling. Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Proven ability to work independently and exercise sound judgment on technical approaches. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members, and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ********************************** This position is a range of salary grades 6, 7 and 8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. #LI-Onsite #LI-JL1 What you'll do… Programming & Databases: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) SQL (Advanced querying, stored procedures, query optimization) Cloud Platforms & Big Data: Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc Data Technologies & Protocols: MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining Manufacturing & IIoT: Industrial Internet of Things (IIoT) Architectures & Principles Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) Familiarity with software for data access/visualization tools Manufacturing Environment & Equipment Data Machine Learning & Statistical Analysis: Quality Control/Prediction, Process Optimization Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) Statistical Modeling, Hypothesis Testing Visualization & UI/Dashboard Development: Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) UI/UX Design Principles for Data Applications Data Storytelling Software Development & Operations: Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: Develop and validate machine learning and statistical models to support business strategy. Gather, manage, and analyze structured and unstructured data for reporting and analytics. Research and apply innovative analytical methodologies and techniques. Collaborate with cross-functional teams to define objectives and develop actionable insights. Interpret and present analytical results Create comprehensive reports, projections, and visual presentations. Adhere to established guidelines and contribute to strategic discussions.

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. You'll have... Bachelor's degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline. Proficiency in tools and programming languages such as Python, R, SQL, or similar. Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis is desirable. Strong skills in handling structured and unstructured datasets for reporting and modeling. Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Proven ability to work independently and exercise sound judgment on technical approaches. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members, and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ********************************** This position is a range of salary grades 6, 7 and 8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. #LI-Onsite #LI-JL1 What you'll do… Programming & Databases: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) SQL (Advanced querying, stored procedures, query optimization) Cloud Platforms & Big Data: Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc Data Technologies & Protocols: MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining Manufacturing & IIoT: Industrial Internet of Things (IIoT) Architectures & Principles Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) Familiarity with software for data access/visualization tools Manufacturing Environment & Equipment Data Machine Learning & Statistical Analysis: Quality Control/Prediction, Process Optimization Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) Statistical Modeling, Hypothesis Testing Visualization & UI/Dashboard Development: Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) UI/UX Design Principles for Data Applications Data Storytelling Software Development & Operations: Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: Develop and validate machine learning and statistical models to support business strategy. Gather, manage, and analyze structured and unstructured data for reporting and analytics. Research and apply innovative analytical methodologies and techniques. Collaborate with cross-functional teams to define objectives and develop actionable insights. Interpret and present analytical results Create comprehensive reports, projections, and visual presentations. Adhere to established guidelines and contribute to strategic discussions.

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

ADI is seeking a passionate Data Platforms Engineer to design, develop, and maintain our enterprise data platforms. As the Engineer of Data Platforms, you will be part of a talented engineering and operations team focused on building and supporting secure, performant, and scalable next gen data platforms that include Snowflake, Databricks, MS Fabric, PowerBI, DBT, Airflow, Azure data services, SQL Server database and modern AI/ML technologies. This role will help ensuring our data infrastructure meets both present and future needs while adhering to governance, compliance and operational excellence. JOB DUTIES: * Platform Development - end-to-end engineering data platforms, ensuring platform reliability, scalability, and extensibility that evolves with the business goals and customer needs * Build reusable frameworks and automation using snowflake cloud, GitHub, Azure Data Factory, DBT, or similar tools. * Maintain critical infrastructure, including OLTP databases, near real-time data pipelines, batch processing systems and frameworks that make data infrastructure accessible for engineering teams * Administer, configure, maintain and support data, analytics and cloud data platforms * Manage and administer data security and protection to protect the databases against threats or unauthorized access. * Contribute to data modeling, partitioning, indexing, clustering, and performance optimization efforts in Snowflake and other data platforms, following established best practices * Resource Monitoring, cost optimization, data validation and quality checks inbuilt into the data pipeline * Maintain run books and knowledge bases for platform operations team * Ensure seamless integration of data systems across the company, collaborating with data engineering and analytics teams to align solutions with business needs * Performs after-hours support for critical production systems with occasional, scheduled maintenance or release deployments and provide on call support as needed YOU MUST HAVE: * 2+ years' overall experience designing, deploying, managing and supporting RDBMS, Data Warehouse systems, Data Lake, and BI solutions, including working with any platforms such as, SQL Server, Snowflake Cloud, Databricks, DBT, ADF (Azure Data Factory) and other Azure services * Advanced SQL proficiency * Proficiency in Snowflake cloud advanced capabilities * Hands-on public cloud experience including experience with technologies and tools such as Continuous Integration, Continuous Deployment, Configuration Management, and Provisioning Automation with tools such as Github * Understanding of security practices and certificate management * Experience with orchestration tools WE VALUE: * Certifications in cloud technologies, data management, or data engineering (e.g., Azure Data Engineer, Snowflake SnowPro core/Advanced) * Understanding of enterprise data management principles * Experience with AI/ML technologies and MLOps capabilities and tools * Experience with Data Platforms administration #LI-MH2 #LI-HYBRID

ADI is seeking a passionate Data Platforms Engineer to design, develop, and maintain our enterprise data platforms. As the Engineer of Data Platforms, you will be part of a talented engineering and operations team focused on building and supporting secure, performant, and scalable next gen data platforms that include Snowflake, Databricks, MS Fabric, PowerBI, DBT, Airflow, Azure data services, SQL Server database and modern AI/ML technologies. This role will help ensuring our data infrastructure meets both present and future needs while adhering to governance, compliance and operational excellence. **JOB DUTIES:** + Platform Development - end-to-end engineering data platforms, ensuring platform reliability, scalability, and extensibility that evolves with the business goals and customer needs + Build reusable frameworks and automation using snowflake cloud, GitHub, Azure Data Factory, DBT, or similar tools. + Maintain critical infrastructure, including OLTP databases, near real-time data pipelines, batch processing systems and frameworks that make data infrastructure accessible for engineering teams + Administer, configure, maintain and support data, analytics and cloud data platforms + Manage and administer data security and protection to protect the databases against threats or unauthorized access. + Contribute to data modeling, partitioning, indexing, clustering, and performance optimization efforts in Snowflake and other data platforms, following established best practices + Resource Monitoring, cost optimization, data validation and quality checks inbuilt into the data pipeline + Maintain run books and knowledge bases for platform operations team + Ensure seamless integration of data systems across the company, collaborating with data engineering and analytics teams to align solutions with business needs + Performs after-hours support for critical production systems with occasional, scheduled maintenance or release deployments and provide on call support as needed **YOU MUST HAVE:** + 2+ years' overall experience designing, deploying, managing and supporting RDBMS, Data Warehouse systems, Data Lake, and BI solutions, including working with any platforms such as, SQL Server, Snowflake Cloud, Databricks, DBT, ADF (Azure Data Factory) and other Azure services + Advanced SQL proficiency + Proficiency in Snowflake cloud advanced capabilities + Hands-on public cloud experience including experience with technologies and tools such as Continuous Integration, Continuous Deployment, Configuration Management, and Provisioning Automation with tools such as Github + Understanding of security practices and certificate management + Experience with orchestration tools **WE VALUE:** + Certifications in cloud technologies, data management, or data engineering (e.g., Azure Data Engineer, Snowflake SnowPro core/Advanced) + Understanding of enterprise data management principles + Experience with AI/ML technologies and MLOps capabilities and tools + Experience with Data Platforms administration \#LI-MH2 \#LI-HYBRID Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions. Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at ************************ At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the ****************************************************************************************************************************************************** If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

**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

We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing, developing, and maintaining robust data pipelines for structured, semi-structured, and unstructured data. This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization. **Key Responsibilities** + Design, develop, and optimize data pipelines using Python, Spark, and SQL. + Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources. + Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability. + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. + Develop and maintain data models, data dictionaries, and technical documentation. + Monitor, troubleshoot, and optimize data workflows for performance and scalability. + Ensure compliance with data governance, security, and privacy policies. + Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP). + Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. + Knowledge of any of the cloud platforms (AWS, Azure, GCP). + Understanding of data security, encryption, and compliance best practices. **Required Skills & Qualifications** + Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field + Good programming skills in Python and SQL + Good problem-solving, analytical, and communication skills + Ability to work collaboratively in a fast-paced environment + Familiarity with data orchestration tools (e.g., Airflow, Prefect) + Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.) + Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub) + Familiarity with data visualization tools + Basic understanding of ETL/ELT concepts, data modeling, and data architecture **Location** New hires will be hired at the Cognizant office in **Plano, TX or Teaneck, NJ,** where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment. **Start Date** New hires will start in **January or February 2026** . While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively. **Salary and Other Compensation:** Applications are accepted on an ongoing basis. The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Why Choose Us?** Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. **Benefits** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **Work Authorization** Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role. _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

The Data Architect - Senior role is responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level. This role combines deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. The Data Architect leads the development of enterprise-level data integration strategies, ensuring data quality and performance across the organization. Additionally, they run moderate to complex projects independently and mentor staff-level architects/engineers, ensuring the successful delivery of data models, pipelines, and warehouses across cloud and on-premise systems This role will work Monday-Friday during regular business hours. We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings. **Essential Functions** + Responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level. + Combines deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. + Leads the development of enterprise-level data integration strategies, ensuring data quality and performance across the organization + Responsible for running moderate to complex projects independently and mentoring staff-level architects/engineers, ensuring the successful delivery of data models, pipelines, and warehouses across cloud and on-premise systems **Skills** + Data architecture and design + Experience with Databricks + Epic healthcare domain knowledge is an added advantage + Cloud infrastructure and data solutions + ETL/ELT development and data integration + Database and performance optimization + Data modeling and documentation + Coding/Programming + Data governance and security + Collaboration and stakeholder management + Leadership and project management **Minimum Qualifications** + Advanced proficiency with SQL and extensive experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL). + Significant experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions. + Deep familiarity with programming languages such as Python and PySpark for data engineering tasks. + Comprehensive knowledge of ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and cloud-native solutions (e.g., Azure Data Factory, Databricks). + Exceptional communication skills for collaborating with stakeholders and teams. + Advanced knowledge of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data architecture projects to ensure alignment with business goals and efficient execution. + Demonstrated ability to stay updated on industry trends and advancements. + Proven experience in providing mentorship and guidance to junior architects. **Preferred Qualifications** + Experience with Databricks, Apache Spark, and Delta Lake for real-time and batch data processing. + Proficiency in data streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs. + Experience working with APIs to retrieve and integrate data from external systems. + Experience developing APIs to provide data as a product. + Familiarity with CI/CD pipelines for data engineering workflows. + Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). + Familiarity with business intelligence tools such as Tableau, Power BI, or Looker for delivering insights from data architectures. + Experience in a healthcare environment. + Epic experience. + Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment. **Location:** Lake Park Building **Work City:** West Valley City **Work State:** Utah **Scheduled Weekly Hours:** 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $54.12 - $85.20 We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits package here (***************************************************** . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

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

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

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:** $147,000/year to $208,000/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.

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. What will you make today? As part of our Manufacturing team, you'll help build the world-class, state-of-the-art smart vehicles we're known for. In our plants around the world, we're constantly developing new technologies and processes to further increase our efficiency. You'll get the satisfaction of making great products people use and love. What you'll do… * Programming & Databases: * Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) * SQL (Advanced querying, stored procedures, query optimization) * Cloud Platforms & Big Data: * Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc * Data Technologies & Protocols: * MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining * Manufacturing & IIoT: * Industrial Internet of Things (IIoT) Architectures & Principles * Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) * Familiarity with software for data access/visualization tools * Manufacturing Environment & Equipment Data * Machine Learning & Statistical Analysis: * Quality Control/Prediction, Process Optimization * Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) * Statistical Modeling, Hypothesis Testing * Visualization & UI/Dashboard Development: * Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) * UI/UX Design Principles for Data Applications * Data Storytelling * Software Development & Operations: * Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: * Develop and validate machine learning and statistical models to support business strategy. * Gather, manage, and analyze structured and unstructured data for reporting and analytics. * Research and apply innovative analytical methodologies and techniques. * Collaborate with cross-functional teams to define objectives and develop actionable insights. * Interpret and present analytical results * Create comprehensive reports, projections, and visual presentations. * Adhere to established guidelines and contribute to strategic discussions. What you'll do… * Programming & Databases: * Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) * SQL (Advanced querying, stored procedures, query optimization) * Cloud Platforms & Big Data: * Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc * Data Technologies & Protocols: * MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining * Manufacturing & IIoT: * Industrial Internet of Things (IIoT) Architectures & Principles * Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) * Familiarity with software for data access/visualization tools * Manufacturing Environment & Equipment Data * Machine Learning & Statistical Analysis: * Quality Control/Prediction, Process Optimization * Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) * Statistical Modeling, Hypothesis Testing * Visualization & UI/Dashboard Development: * Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) * UI/UX Design Principles for Data Applications * Data Storytelling * Software Development & Operations: * Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: * Develop and validate machine learning and statistical models to support business strategy. * Gather, manage, and analyze structured and unstructured data for reporting and analytics. * Research and apply innovative analytical methodologies and techniques. * Collaborate with cross-functional teams to define objectives and develop actionable insights. * Interpret and present analytical results * Create comprehensive reports, projections, and visual presentations. * Adhere to established guidelines and contribute to strategic discussions.