Senior data scientist jobs in West Bloomfield, MI - 118 jobs

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. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... We are looking for a Senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar. This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. - We value being Smart. Nice. Curious. Communicative. You'll have... The minimum requirements we seek: • Bachelor's degree in engineering, Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field or a related quantitative discipline. • 5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data • 5+ years of experience using Python, SQL or BigQuery for acquiring and transforming data • 5+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges • Experience with sampling and sample assessment techniques when data are not ideal, especially in structured data with data gaps (e.g. statistical design of experiments, factorial experimental design, Latin hypercube sampling, and others) • Comfortable working in an environment where problems are not always well-defined • Well-organized, a self-starter, independent and ready to work with minimal supervision • A respectful and committed teammate, willing to excel and work with talented people • Inquisitive, proactive, and interested in learning new tools and techniques • Proven quantitative modeling and statistical analysis skills Even better, you may have... Additional preferred requirements: • Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field. • Knowledge of cost modeling, product design (hardware), mechanical engineering or similar • Experience deploying Machine Learning in production (ideally MLOps) for internal or external use • Experience with Google Cloud Platform (GCP) or other cloud systems • Strong oral, written and interpersonal communication skills • Ability to effectively advocate technical solutions to peer, management and business audiences 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 of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid 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 6-8. Visa sponsorship is 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. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-MD2 What you'll do: • Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations • Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python • Contribute and review code for our code base in GitHub • Make sense of, clean, and assess validity and completeness of data samples from Ford's products, services, and supply chain. • Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering • Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership • Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers • Develop trust with stakeholders and peers by delivering results on time • Ensure overall quality of the data & solutions throughout the development process • Provide training and maintenance of implemented tools to business partners • Collect feedback from business users and continuously improve analytic products • Mentor more junior data scientists by being a role model and advisor on the above tasks • Find areas to lead and innovate as a Senior Data Scientist on the team

About Us: Zoomprop is revolutionizing the real estate investment landscape as the industry's premier data analytics platform, offering institutional-grade insights comparable to Bloomberg Terminal's role in financial markets. We provide sophisticated investment intelligence and analytics tailored specifically for real estate professionals, from institutional investors to brokerages and investment strategists. Our leadership team brings exceptional expertise and a proven track record of success. Our CEO has demonstrated remarkable business acumen, having successfully raised over $300 million across multiple ventures, with their most recent achievement being a $4 billion merger IPO. Supporting this vision, our President brings valuable early-stage startup experience, having played pivotal roles in two successful acquisitions and an IPO. As a venture-backed startup, we combine this wealth of expertise with cutting-edge technology to transform how investment decisions are made in the real estate sector. Our platform goes beyond basic market analysis, offering sophisticated tools and insights that enable our clients to identify and capitalize on prime investment opportunities with unprecedented precision.Key Responsibilities Develop and improve machine learning models for real estate market analysis and forecasting Design and implement data acquisition and processing pipelines Create and maintain our AI assistant capabilities Ensure data accuracy and quality across our extensive property database Optimize backend architecture for scalability and performance Collaborate with product team to implement new features and capabilities Design and maintain API endpoints for data access and integration Implement robust testing and validation frameworks for ML models Required Qualifications Advanced degree in Computer Science, Data Science, or related field 5+ years experience in machine learning and data science Strong programming skills in Python and experience with ML frameworks Experience with large-scale data processing and ETL pipelines Proficiency in database design and optimization Experience with API design and implementation Strong background in statistics and experimental design Preferred Qualifications Experience with real estate data or market analysis Knowledge of time series forecasting and geospatial analysis Experience with cloud infrastructure (AWS/GCP/Azure) Background in natural language processing for AI assistants Contributions to open-source projects or research publications We're a tight-knit team offering more than just a role - we're offering an opportunity to make a real impact. As we continue to revolutionize real estate investment analytics, we provide a comprehensive benefits package that reflects our commitment to our team's success and well-being. From competitive compensation with equity participation to full health coverage and flexible work arrangements, we ensure our team members are well-supported. Our remote-friendly culture emphasizes professional growth and innovation, giving you the freedom to shape both your career and the future of real estate technology. If you're ready to join a fast-paced environment where your contributions will have immediate and lasting impact, we'd love to connect with you.

TI Automotive is launching a new AI department to drive enterprise-wide transformation through predictive and generative AI solutions. We are seeking a Senior Data Scientist to lead this technical charge-someone who combines deep machine learning expertise with strong leadership and business acumen, particularly in the automotive supplier space. This is a rare opportunity to shape a newly forming team, mentor top talent, and build scalable AI solutions that improve manufacturing efficiency, supply chain resilience, and customer experience. Your leadership will be instrumental in making AI a strategic advantage for TI Automotive. Key Responsibilities: Translate complex business challenges into high-impact predictive and generative AI use cases. Collaborate with stakeholders across engineering, IT, and business functions to align AI efforts with organizational priorities. Lead a team of machine learning engineers to design, build, and deploy end-to-end AI solutions across various business domains. Mentor and grow a high-performing technical team, fostering a culture of innovation, accountability, and continuous learning. Provide technical direction in model architecture selection, training strategy, performance evaluation, and deployment. Oversee development and optimization of ML pipelines, MLOps workflows, and cloud-native AI platforms (preferably Azure). Stay ahead of emerging AI trends-especially in GenAI and Agentic AI-and strategically integrate them where valuable.Ensure responsible AI practices by promoting model explain ability, fairness, and governance. Minimum Qualifications: Bachelor in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. 10+ years of experience in AI/ML, including at least 3 years in a technical leadership or managerial role. Proven experience building and deploying AI solutions in the automotive industry, with strong domain knowledge in manufacturing, logistics, or quality systems. Deep hands-on expertise in predictive modeling, deep learning (CNNs, Transformers), and GenAI technologies (LLMs, RAG, embeddings, vector databases). Experience leading teams building production-grade ML systems using MLOps practices and cloud infrastructure (Azure preferred). Excellent communication skills with the ability to explain complex technical topics to both technical and non-technical stakeholders. Candidates must reside in the Detroit Metropolitan area and able to work onsite 5 days a week. Preferred Qualifications: Background in deploying predictive solutions in automotive industry or related domains - Manufacturing, Supplychain, Finance etc. Experience with agent-based AI systems and applied use of LLMs in enterprise environments. Knowledge MLOps, model lifecycle management, and responsible AI practices. The Ideal Candidate: You are a hands-on technical leader who thrives on mentoring and empowering engineering talent. You understand the unique challenges and opportunities in the automotive space and are eager to apply AI to solve them. You are comfortable with ambiguity and excited to build from the ground up. You lead with vision, communicate with clarity, and act with purpose. You are passionate about turning AI potential into real-world business value. Physical Requirements: Regular and predictable attendance. Ability to work at a personal computer for extended periods of time. Ability to tolerate stress. EEO Statement: TI Fluid Systems is committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, pregnancy status, disability, gender identity or Veteran status.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical. The Senior Data Scientist in this role will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human-centered autonomous driving systems. Responsibilities Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data. Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors. Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps. Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows. Communicate insights and recommendations to engineering leaders and cross-functional teams. Skills Success in this role typically requires the following competencies: Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark). Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements. Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems. Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders. Detail-oriented with a focus on validation, testing, and error detection. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 5+ years of experience in data science, applied machine learning, robotics, or autonomous systems. 2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis. Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems. Hands-on experience working with real-world driving logs and/or simulation data. Desired Background in motion planning, behavior prediction, or multi-agent interaction modeling. Experience designing metric-driven development, KPIs, and automated triaging pipelines. Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range$163,477-$240,408 USD

TI Automotive is launching a new AI department to drive enterprise-wide transformation through predictive and generative AI solutions. We are seeking a Senior Data Scientist to lead this technical charge-someone who combines deep machine learning expertise with strong leadership and business acumen, particularly in the automotive supplier space. This is a rare opportunity to shape a newly forming team, mentor top talent, and build scalable AI solutions that improve manufacturing efficiency, supply chain resilience, and customer experience. Your leadership will be instrumental in making AI a strategic advantage for TI Automotive. Key Responsibilities: * Translate complex business challenges into high-impact predictive and generative AI use cases. * Collaborate with stakeholders across engineering, IT, and business functions to align AI efforts with organizational priorities. * Lead a team of machine learning engineers to design, build, and deploy end-to-end AI solutions across various business domains. * Mentor and grow a high-performing technical team, fostering a culture of innovation, accountability, and continuous learning. * Provide technical direction in model architecture selection, training strategy, performance evaluation, and deployment. * Oversee development and optimization of ML pipelines, MLOps workflows, and cloud-native AI platforms (preferably Azure). * Stay ahead of emerging AI trends-especially in GenAI and Agentic AI-and strategically integrate them where valuable.Ensure responsible AI practices by promoting model explain ability, fairness, and governance. Minimum Qualifications: * Bachelor in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field. * 10+ years of experience in AI/ML, including at least 3 years in a technical leadership or managerial role. * Proven experience building and deploying AI solutions in the automotive industry, with strong domain knowledge in manufacturing, logistics, or quality systems. * Deep hands-on expertise in predictive modeling, deep learning (CNNs, Transformers), and GenAI technologies (LLMs, RAG, embeddings, vector databases). * Experience leading teams building production-grade ML systems using MLOps practices and cloud infrastructure (Azure preferred). * Excellent communication skills with the ability to explain complex technical topics to both technical and non-technical stakeholders. * Candidates must reside in the Detroit Metropolitan area and able to work onsite 5 days a week. Preferred Qualifications: * Background in deploying predictive solutions in automotive industry or related domains - Manufacturing, Supplychain, Finance etc. * Experience with agent-based AI systems and applied use of LLMs in enterprise environments. * Knowledge MLOps, model lifecycle management, and responsible AI practices. The Ideal Candidate: * You are a hands-on technical leader who thrives on mentoring and empowering engineering talent. * You understand the unique challenges and opportunities in the automotive space and are eager to apply AI to solve them. * You are comfortable with ambiguity and excited to build from the ground up. * You lead with vision, communicate with clarity, and act with purpose. * You are passionate about turning AI potential into real-world business value. Physical Requirements: * Regular and predictable attendance. * Ability to work at a personal computer for extended periods of time. * Ability to tolerate stress. EEO Statement: TI Fluid Systems is committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, pregnancy status, disability, gender identity or Veteran status.

As the traditional marketing funnel collapses and fragmentation increases, clients rely on Publicis Collective to connect media, data, technology, and teams by what matters most - business outcomes. We're a full-service media agency where nearly half our experts focus on data, research, analytics, technology, or strategy. At Publicis Collective, 100% of our 2,200 global practitioners can access advanced insights and scale media with precision through our proprietary OS, powering marketing that drives measurable business performance and transformation. Overview You will work very closely with planning, audience strategy and analytics teams to help them solve marketing problems. They also contribute crucial intellectual capital to the data science team by sharing knowledge and designing models and Data Science solutions based on their clients' business needs and using data to tell great stories. A Manager will also help formulate a vision for their accounts and bring that vision to life. Responsibilities As such, a manager is a mentor, project manager, and thought leader, all at the same time. Day-to-day responsibilities include: * Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.). * Produce accurate statistical analysis and ensure high quality of the data analysis produced. * Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations. * Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting. Qualifications * 3+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives * Strong knowledge of Relational Databases and SQL programming. * Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R. * Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems. * Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, * Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision * Trees/Random Forest, Bayesian Inference, Markov Chain Monte-Carlo (MCMC). * Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix * Modeling (MMM), Multi-touch Attribution (MTA) * Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, * Radio, Print, Search, Display, Email, Ecommerce, and Social. * Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research. * Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups. Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. Compensation Range: $77,000 - $86,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 02/16/2026. All your information will be kept confidential according to EEO guidelines. #LI-KS3

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. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... We are looking for a Senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar. This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. - We value being Smart. Nice. Curious. Communicative. Responsibilities What you'll do: • Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations • Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python • Contribute and review code for our code base in GitHub • Make sense of, clean, and assess validity and completeness of data samples from Ford's products, services, and supply chain. • Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering • Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership • Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers • Develop trust with stakeholders and peers by delivering results on time • Ensure overall quality of the data & solutions throughout the development process • Provide training and maintenance of implemented tools to business partners • Collect feedback from business users and continuously improve analytic products • Mentor more junior data scientists by being a role model and advisor on the above tasks • Find areas to lead and innovate as a Senior Data Scientist on the team Qualifications You'll have... The minimum requirements we seek: • Bachelor's degree in engineering, Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field or a related quantitative discipline. • 5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data • 5+ years of experience using Python, SQL or BigQuery for acquiring and transforming data • 5+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges • Experience with sampling and sample assessment techniques when data are not ideal, especially in structured data with data gaps (e.g. statistical design of experiments, factorial experimental design, Latin hypercube sampling, and others) • Comfortable working in an environment where problems are not always well-defined • Well-organized, a self-starter, independent and ready to work with minimal supervision • A respectful and committed teammate, willing to excel and work with talented people • Inquisitive, proactive, and interested in learning new tools and techniques • Proven quantitative modeling and statistical analysis skills Even better, you may have... Additional preferred requirements: • Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field. • Knowledge of cost modeling, product design (hardware), mechanical engineering or similar • Experience deploying Machine Learning in production (ideally MLOps) for internal or external use • Experience with Google Cloud Platform (GCP) or other cloud systems • Strong oral, written and interpersonal communication skills • Ability to effectively advocate technical solutions to peer, management and business audiences 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 of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid 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 6-8. Visa sponsorship is 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. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-MD2

Why work at OpTech? OpTech is a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work at OpTech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today! To view our complete list of openings, please visit our website at ***************** JOB SUMMARY: We are seeking a Healthcare Data Scientist to support data-driven decision-making across a health insurance organization. This role focuses on leveraging claims, eligibility, risk adjustment, and quality data to improve member outcomes, manage medical costs, and support value-based care initiatives. The ideal candidate will partner with clinical, actuarial, care management, and business teams to deliver actionable insights and predictive models. KEY RESPONSIBILITIES: * Analyze and model medical, pharmacy, and behavioral health claims data. * Develop predictive models for risk stratification, utilization management, readmissions, cost of care, and fraud/waste/abuse. * Support population health, care management, and quality improvement programs. * Collaborate with clinical, actuarial, and operational teams to translate business needs into analytics solutions. * Create and maintain datasets using SQL, Python, and payer data models. * Monitor model performance, bias, and data drift. * Present insights to leadership using clear visualizations and storytelling. * Ensure compliance with HIPAA, CMS, and internal data governance standards. JOB REQUIREMENTS: * 3+ years of data science or advanced analytics experience in health insurance, managed care, or healthcare. * Strong proficiency in Python and SQL. * Hands-on experience with claims and eligibility data. * Understanding of healthcare economics and utilization patterns * Ability to communicate complex findings to non-technical business partners. PREFERRED QUALIFICATIONS: * Experience with risk adjustment (HCC), HEDIS, CMS Star Ratings. * Knowledge of value-based care and care management analytics. * Familiarity with cloud data platforms (AWS, Azure, GCP). * Experience working with large-scale payer data warehouses. * Exposure to fraud, waste, and abuse (FWA) analytics. EDUCATION/CERTIFICATIONS: * Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Health Informatics, or related field OpTech is an equal opportunity employer and is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, status as a parent, disability, age, veteran status, or other characteristics as defined by federal, state or local laws. *************************************************

The candidate will be responsible for developing advanced data use cases in Stellantis Global Supply Chain business domain, leveraging 360° ecosystem (Supply Chain, Manufacturing, Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. The candidate will have strong experience in building and implementing models, using/creating algorithms and creating/running simulations. As well as using a variety of data mining/data analysis methods. Job responsibilities include but not limited to: Merge large, complex data sets that meet business requirements Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Writing and refactoring the code into reusable libraries and API Support business analytics initiatives across SC departments Facilitate the internal and external data science & AI network Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series)

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://tinyurl.com/nzn6msu *You can apply through Indeed using mobile devices with this link. Job Description The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses. Requirements M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role. Extensive experience solving analytics problems using quantitative approaches. A proven passion for generating insights from data. Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Fluency with at least one scripting language such as Python, Java, or C/C++. Familiarity with relational databases and SQL. Additional Information All your information will be kept confidential according to EEO guidelines.

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company's core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion. OneMagnify's commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India. You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration. The Lead Data Scientist is responsible for leading the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value. What you'll do: Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support Translate client goals into clear modeling strategies, project plans, and deliverables Guide the development of production-level model pipelines using tools such as Databricks and Azure ML Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications Monitor and improve model performance, ensuring high standards for reliability and business relevance Present complex analytical results to technical and non-technical audiences in a clear, actionable format Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture Promote best practices in model governance, data ethics, and responsible AI What you need: Minimum 5-7 years of experience in data science, analytics, or predictive modeling Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution Strong programming skills in Python, R, or SAS for modeling and data analysis Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS) Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus Expertise in regression, classification, clustering, A/B testing, and audience segmentation Proficiency with Tableau, Power BI, and Excel for data visualization and communication Strong communication skills and the ability to translate complex technical findings into business insight Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred) Benefits We offer a comprehensive benefits package including medical, dental, 401(k), paid holidays, vacations, and more. About us Whether it's awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges. We are an equal opportunity employer We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://tinyurl.com/nzn6msu *You can apply through Indeed using mobile devices with this link. Job Description The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses. Requirements M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role. Extensive experience solving analytics problems using quantitative approaches. A proven passion for generating insights from data. Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Fluency with at least one scripting language such as Python, Java, or C/C++. Familiarity with relational databases and SQL. Additional Information All your information will be kept confidential according to EEO guidelines.

The candidate will be responsible for developing advanced data use cases in Stellantis Global Supply Chain business domain, leveraging 360° ecosystem (Supply Chain, Manufacturing, Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. The candidate will have strong experience in building and implementing models, using/creating algorithms and creating/running simulations. As well as using a variety of data mining/data analysis methods. Job responsibilities include but not limited to: Merge large, complex data sets that meet business requirements Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Writing and refactoring the code into reusable libraries and API Support business analytics initiatives across SC departments Facilitate the internal and external data science & AI network Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series)

Work Classification: Hybrid: This means the successful candidate is expected to report to their primary location (Warren, MI) three times per week, at minimum, or other frequency dictated by the business. The Role: Seeking a Lead Data Scientist to drive the development and deployment of advanced AI/ML solutions that transform cost engineering and product profitability. This role will serve as the technical lead for AI innovation within PPCO, with a focus on scalable, production-grade systems that integrate engineering, manufacturing, and supplier data to optimize vehicle cost and component strategies. What You'll Do: * Architect and lead the development of AI/ML models for cost estimation, risk modeling, and design optimization, leveraging LLMs, RAG pipelines, and agentic AI to solve complex cost engineering challenges. * Own the full lifecycle of AI/ML solutions-from hypothesis testing and proof-of-concept development to scalable deployment in production environments. * Translate domain needs into actionable AI/ML solutions by serving as a technical bridge across engineering, purchasing, analytics, and business teams. * Shape the AI/ML roadmap for cost engineering by identifying emerging technologies and proactively developing capabilities to meet future needs. * Provide technical vision and mentorship, scaling best practices in experimentation, model development, and deployment across the team. * Pioneer novel applications of AI/ML to enhance efficiency, decision-making, and profitability in cost analytics. * Drive initiatives with rigor, reproducibility, and speed, ensuring seamless transition from concept to enterprise-scale impact. Your Skills & Abilities (Required Qualifications): * Master's in Engineering, Physics, Statistics, or a related quantitative field (Ph.D. strongly preferred) * 7+ years of experience in data science, with 3+ years in production-grade AI/ML systems * Deep expertise in: * Deep learning (CNNs, RNNs) * Classical ML (regression, classification) * Python (PyTorch, TensorFlow, HuggingFace, Scikit-learn, XGBoost) * Cloud platforms, Spark, Databricks, SQL * LLMs, RAG pipelines, and agentic AI * Proven ability to build PoC apps (e.g., Streamlit, Dash) for stakeholder engagement * Strong understanding of cost engineering, manufacturing processes, and supplier economics * Demonstrated success in delivering AI/ML solutions that drive measurable cost savings What Will Give You a Competitive Edge (Preferred Qualifications): * Ph.D. in Engineering, Physics, Statistics, or a related quantitative field * 10+ years of experience in data science, with 3+ years in production-grade AI/ML systems * Familiarity with GM's cost structure, purchasing systems, and vehicle development lifecycle * Ability to communicate complex technical concepts to non-technical stakeholders * Strategic mindset with a bias for action and experimentation Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Relocation: This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Mars United℠ Commerce is a global commerce marketing practice that aligns people, technology, and intelligence to make the business of our clients better today than it was yesterday. Our worldwide capabilities coalesce into four key disciplines - Strategy & Analytics, Content & Experiences, Digital Commerce, and Retail Consultancy - that individually deliver unmatched results for clients and collectively give them an unparalleled network of seamlessly integrated functions across the entire commerce marketing ecosystem. These disciplines are powered by our industry-leading technology platform, Marilyn, which helps marketers understand the total business impact of their commerce marketing activation, enabling them to make better decisions, create connected experiences, and drive stronger, measurable results. Learn more at **************************** Overview Part of the overall Analytics Group, the Data Science team is responsible for all data modeling, algorithm development, and creating machine learning and AI models. They develop techniques such as regression, classification, clustering, natural language processing (NLP), and more. Additionally, they focus on marketing analytics, using advanced data science techniques to analyze marketing performance, optimize campaigns, and provide actionable insights to enhance marketing effectiveness. ● Core Responsibilities: Data Modeling, Feature Engineering, Sentiment Analysis, Propensity Modeling, CM3, Model Training & Testing, Forecasting, Multi-touch/Data-driven Attribution, etc. ● Primary Tools: Databricks, Azure Synapse, Alteryx, Python, SQL Responsibilities As a Data Scientist, you will leverage your strong technical skills and experience to develop data science and AI solutions. This role requires a deep understanding of data science and machine learning techniques and the ability to collaborate with various teams to ensure data quality and actionable insights. Specifically, the Data Scientist will: ● Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects. ● Work closely with cross-functional teams, including analysts, product managers, and domain experts, to understand business requirements, formulate problem statements, and deliver relevant data science solutions. ● Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources. ● Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems. ● Own and manage complex ETL pipelines to clean, preprocess, and transform large datasets. ● Identify and engineer relevant features to enhance model performance and accuracy. ● Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models. ● Communicate findings and recommendations through comprehensive reports and engaging presentations. ● Support wider agency initiatives. ● Show up - be accountable, take responsibility, and get back up when you are down. ● Make stuff. ● Share so others can see what's happening. Qualifications A Bachelors'/Master's degree in Mathematics, Statistics, Data Analytics, Computer Science, or a directly related field. ● 1+ years of industry experience in a data science/data analysis/statistical analyst role. ● Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using Python/R libraries and SQL. ● Familiarity with relational, SQL, and NoSQL databases. ● Databricks experience is a big plus point. ● Knowledge of statistical analysis tools such as R is a plus. ● Knowledge of scripting in SQL and Python using OOP concepts. ● Experience with PowerBI or Tableau. ● Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. ● Experience in DevOps or MLOps is a plus. ● Experience with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch) is a plus. ● Strong communication skills to effectively convey complex findings to non-technical stakeholders. ● Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams. ● Critical thinking to analyze data and derive meaningful insights. ● Experience in the marketing domain is preferred. ● Ensure the accuracy and reliability of data through rigorous QA processes. ● Validate model outputs to ensure they meet business requirements. ● Conduct unit tests and validation checks on data and models. ● Perform A/B testing to evaluate model performance and impact. ● Document all data analysis and modeling processes. ● Maintain comprehensive records of data sources, methodologies, and results. ● Ensure compliance with data governance and security policies. Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. Compensation Range: $54,910 to $72,300 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/15/2026. All your information will be kept confidential according to EEO guidelines.

Working at Freudenberg: We will wow your world! Responsibilities: Design and Build Data Pipelines: Develop, implement, and maintain robust, scalable data pipelines and ETL processes to integrate data from diverse sources. Cloud Data Infrastructure: Collaborate with IT and business teams to set up and optimize advanced cloud-based data infrastructure, supporting AI-driven models and analytics. Data Transformation & Modeling: Create algorithms and data models to convert raw data into actionable insights, aligning with business objectives. Data Quality & Security: Ensure data integrity, quality, and security across all systems, implementing validation, backup, recovery, and disaster recovery plans. Pipeline Optimization: Continuously evaluate and enhance data systems and processes for improved efficiency, reliability, and performance (including query tuning and indexing). Migration & Modernization: Lead migration of on-premises data systems to cloud solutions, focusing on Azure and modern data architectures (e.g., real-time processing, data warehousing). Collaboration: Work closely with data scientists, analysts, and other stakeholders to meet organizational data needs and drive strategic data management projects Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Proficiency in Python and SQL; experience with both relational and non-relational databases (MS SQL, Azure SQL Database). Hands-on experience with Databricks, Azure Data Factory, and modern data warehouse tools. Familiarity with real-time data processing tools (e.g., Kafka, Flink) is a plus. Experience with CI/CD pipelines, automation for data deployments, and infrastructure as code (e.g., Terraform). Strong understanding of data security, backup, and recovery best practices. Knowledge of cloud infrastructure management, particularly on the Azure platform. Domain Knowledge: Experience in automotive and/or chemical data domains is a plus. Communication & Collaboration: Communicates clearly and concisely, while serving as a sparring partner to internal/external stakeholders. Fosters teamwork between employees and across the organization. Value for Customers: Drives a customer-oriented business strategy and provides indispensable support to deliver successful outcomes. Innovation: Envisions the impact of potential future trends and proactively drives necessary changes. Encourages creativity and initiative from employees. Drive & Execution: Inspires and motivates self and others, while taking full accountability for actions and results. The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law. Freudenberg-NOK General Partnership

The candidate will be responsible for developing advanced data use cases in Stellantis Global Supply Chain business domain, leveraging 360° ecosystem (Supply Chain, Manufacturing, Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. The candidate will have strong experience in building and implementing models, using/creating algorithms and creating/running simulations. As well as using a variety of data mining/data analysis methods. Job responsibilities include but not limited to: * Merge large, complex data sets that meet business requirements * Analyze large amounts of information to discover trends and patterns * Build predictive models and machine-learning algorithms * Writing and refactoring the code into reusable libraries and API * Support business analytics initiatives across SC departments * Facilitate the internal and external data science & AI network * Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series) Basic Qualifications: * Master in Data Science / Computer Science * 5 years of relevant experience (i.e. ICT and/or Supply Chain) * Knowledge of at least one of some of the main Big Data frameworks and platforms: Spark, Databricks, Snowflake * Strong programming skills in Python and SQL * Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, …) * Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ...) and their real-world advantages/drawbacks * Combination of business focus, analytical and problem-solving skills to quickly define a data-driven solution within different initiatives * Ability to work within a team and with a proactive attitude Preferred Qualifications: * PhD * Experience in a multinational (global) work environment * AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated * Palantir Foundry platform * Microsoft PowerBI / Fabrics tool (incl. DAX programming language) * Deep learning frameworks (Pytorch, Tensorflow, …) * Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)

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. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... We are seeking a talented and driven Data Scientist to join our team. In this role, you will be instrumental in transforming real-world data into actionable insights and innovative solutions. You will work across the entire data science lifecycle, from understanding complex business challenges to deploying robust models that drive impact. What you'll do... Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses. Translate complex business questions and challenges into well-defined data science problems and analytical tasks. Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring. Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions. Iterate on models and approaches based on performance feedback and evolving business requirements. Stay up-to-date with the latest advancements in data science, machine learning, and relevant technologies. You'll have... Master's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field. Demonstrated ability to deal with and process data from real-world sources. Experience performing Exploratory Data Analysis (EDA). Experience with model development (statistical modeling, machine learning). Familiarity with the process of deploying models into production or working alongside teams that do. Proven ability to translate business questions into data-driven problems. Ability to translate data analysis results and model insights into clear, business-oriented solutions. Proficiency in at least one major programming language used in data science (e.g., Python, R). Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL). Even better, you may have... PhD in Statistics, Mathematics, Computer Science, or a closely related quantitative field. -Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP). Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience in Auto Industry 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 of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care 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: New Hire Benefits This position is a range of salary grades SG5-SG8 Visa sponsorship is 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. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-MG1

Mars United℠ Commerce is a global commerce marketing practice that aligns people, technology, and intelligence to make the business of our clients better today than it was yesterday. Our worldwide capabilities coalesce into four key disciplines - Strategy & Analytics, Content & Experiences, Digital Commerce, and Retail Consultancy - that individually deliver unmatched results for clients and collectively give them an unparalleled network of seamlessly integrated functions across the entire commerce marketing ecosystem. These disciplines are powered by our industry-leading technology platform, Marilyn, which helps marketers understand the total business impact of their commerce marketing activation, enabling them to make better decisions, create connected experiences, and drive stronger, measurable results. Learn more at **************************** Overview Part of the overall Analytics Group, the Data Science team is responsible for all data modeling, algorithm development, and creating machine learning and AI models. They develop techniques such as regression, classification, clustering, natural language processing (NLP), and more. Additionally, they focus on marketing analytics, using advanced data science techniques to analyze marketing performance, optimize campaigns, and provide actionable insights to enhance marketing effectiveness. ● Core Responsibilities: Data Modeling, Feature Engineering, Sentiment Analysis, Propensity Modeling, CM3, Model Training & Testing, Forecasting, Multi-touch/Data-driven Attribution, etc. ● Primary Tools: Databricks, Azure Synapse, Alteryx, Python, SQL Responsibilities As a Data Scientist, you will leverage your strong technical skills and experience to develop data science and AI solutions. This role requires a deep understanding of data science and machine learning techniques and the ability to collaborate with various teams to ensure data quality and actionable insights. Specifically, the Data Scientist will: ● Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects. ● Work closely with cross-functional teams, including analysts, product managers, and domain experts, to understand business requirements, formulate problem statements, and deliver relevant data science solutions. ● Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources. ● Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems. ● Own and manage complex ETL pipelines to clean, preprocess, and transform large datasets. ● Identify and engineer relevant features to enhance model performance and accuracy. ● Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models. ● Communicate findings and recommendations through comprehensive reports and engaging presentations. ● Support wider agency initiatives. ● Show up - be accountable, take responsibility, and get back up when you are down. ● Make stuff. ● Share so others can see what's happening. Qualifications A Bachelors'/Master's degree in Mathematics, Statistics, Data Analytics, Computer Science, or a directly related field. ● 1+ years of industry experience in a data science/data analysis/statistical analyst role. ● Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using Python/R libraries and SQL. ● Familiarity with relational, SQL, and NoSQL databases. ● Databricks experience is a big plus point. ● Knowledge of statistical analysis tools such as R is a plus. ● Knowledge of scripting in SQL and Python using OOP concepts. ● Experience with PowerBI or Tableau. ● Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. ● Experience in DevOps or MLOps is a plus. ● Experience with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch) is a plus. ● Strong communication skills to effectively convey complex findings to non-technical stakeholders. ● Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams. ● Critical thinking to analyze data and derive meaningful insights. ● Experience in the marketing domain is preferred. ● Ensure the accuracy and reliability of data through rigorous QA processes. ● Validate model outputs to ensure they meet business requirements. ● Conduct unit tests and validation checks on data and models. ● Perform A/B testing to evaluate model performance and impact. ● Document all data analysis and modeling processes. ● Maintain comprehensive records of data sources, methodologies, and results. ● Ensure compliance with data governance and security policies. Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. Compensation Range: $54,910 to $72,300 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/15/2026. All your information will be kept confidential according to EEO guidelines.