Data scientist jobs in Rochester Hills, MI

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. 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. You'll have... Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering or related field and 3 years of experience in the job offered or related occupation. 3 years of experience with each of the following skills is required: 1. Developing NLP pipelines in Python using at least 2 of the following: NLTK, spa Cy, Gensim, or HuggingFace. 2. Implementing text preprocessing workflows, creating feature extraction algorithms, and building and training models with scikit-learn, TensorFlow, or PyTorch. 3. Developing reusable modules for NLP and writing production-ready code. 4. Querying large datasets in SQL to extract textual information. 5. Designing database schemas optimized for NLP applications. 6. Writing complex queries to join structured and unstructured data sources. 7. Creating ETL processes for text data, optimizing query performance for large text corpora, and implementing database operations in analytics pipelines. 8. Applying supervised Machine Learning techniques to NLP problems, implementing unsupervised methods for text analysis, evaluating model performance with appropriate metrics, building ensemble models, conducting hyperparameter optimization, and applying transfer learning with pre-trained embeddings. 9. Deploying NLP models and pipelines on Google Cloud Platform (GCP) infrastructure. 10. Utilizing AI Platform for training and serving ML models. 11. Managing data storage with Cloud Storage, BigQuery, or Cloud SQL. 12. Implementing data processing pipelines with Dataflow or Dataproc. 2 years of experience with each of the following skills is required: 1. Managing code versioning for collaborative NLP model development, implementing code review processes, and resolving merge conflicts in multi-developer environments. 2. Using Git for CI/CD integration with model deployment and organizing repositories for maintainable ML codebases. 1 year of experience with each of the following skills is required: 1. Using Cloud Functions for serverless text processing and monitoring model performance. 2. Containerizing NLP applications for deployment, creating and managing deployment configurations, and setting up routes and services with OpenShift. 3. Implementing resource allocation and scaling strategies, configuring persistent storage for models and data, and managing deployments with rolling updates. 4. Fine-tuning pre-trained Large Language Models (BERT, GPT, or T5) for domain-specific tasks. 5. Implementing prompt engineering techniques and evaluating LLM outputs for accuracy. 6. Creating embeddings for semantic search, optimizing inference for production, and reducing hallucinations and improving factuality. 7. Building CI/CD pipelines in Tekton for NLP model deployment. 8. Creating reusable pipeline components for text processing, managing workflow triggers, and implementing testing and validation steps. 9. Configuring resource requirements, integrating model evaluation metrics, and setting up automated retraining pipelines. We are offering a salary of $107,848.00 - $182,338.56/yr. 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 child care 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 a detailed look at our benefits, click here: ******************************* 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 **************. #LI-DNI #DNP What you'll be able to do: Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Develop and deploy Natural Language Processing (NLP) models to extract insights from unstructured textual data. Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics. Design and implement data pre-processing and feature engineering techniques for NLP tasks. Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems. Evaluate and fine-tune models for performance optimization, accuracy, and efficiency. Contribute maintainable code to existing and new pipelines. Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of methodologies and algorithms. Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.

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.

Team members in the Data Scientist role at UWM are responsible for modeling complex problems, discovering insights and identifying opportunities using statistics, algorithms, machine learning, and visualization techniques. Data Scientists work closely with executives, product owners, SME's, and other business teams to leverage data and help answer critical business decisions. Data Scientists at UWM need to be creative thinkers and propose innovative ways to look at problems by examining and discovering new patterns within our datasets and collaborating with our business stakeholders. They will need to validate their results using an experimental and iterative approach. Perhaps most importantly, they will need to be able to communicate their insights and results to the business in a clear, concise, and approachable way. They need to be storytellers of their work. These professionals will need a combination of business focus, data programming knowledge, and strong analytical and problem solving skills, to be able to quickly develop and test hypothesis, and provide conclusions in a clear, structured manner. This role includes the full data science lifecycle from analytic problem definition, through data wrangling, analysis, model development, reporting/visualization development, testing, deployment, and feedback. WHAT YOU WILL BE DOING * Work with stakeholders throughout the organization to identify opportunities for leveraging company data to increase efficiency or improve the bottom line. * Analyze UWM data sets to identify areas of optimization and improvement of business strategies. * Assess the effectiveness and accuracy of new data sources and data gathering techniques. * Develop custom data models, algorithms, simulations, and predictive modeling to support insights and opportunities for improvement. * Develop A/B testing framework and test model quality. * Coordinate with different business areas to implement models and monitor outcomes. * Develop processes and tools to monitor and analyze model performance and data accuracy WHAT WE NEED FROM YOU Must Have * Bachelor's degree in Finance, Statistics, Economics, Data Science, Computer Science, Engineering or Mathematics, or related field * 5+ years of experience in statistical analysis, and/or machine learning * 5+ years of experience with one or more of the following tools: machine learning (Python, MATLAB), data wrangling skills/tools (Hadoop, Teradata, SAS, or other), statistical analysis (Python, R, SAS) and/or visualization skills/tools (PowerBI, Tableau, Qlikview) * 3+ years of experience collaborating with teams (either internal or external) to develop analytics solutions * Strong problem solving skills * Strong communication skills (interpersonal, written, and presentation) Nice to Have * Master's degree in Finance, Statistics, Economics, Data Science, Computer Science, Mathematics or related field * 3+ years of experience with R, SQL, Tableau, MATLAB, Python * 3+ years of professional experience in machine learning, data mining, statistical analysis, modeling, optimization * Experience in Accounting, Finance, and Economics THE PLACE & THE PERKS Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans? It's all happening on UWM's campus, where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement. It's no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It's at the very heart of how we treat each other, our clients and our community. Whether it's providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life. From the team member that holds a door open to the one that helps guide your career, you'll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you'll be welcomed here. Accepted here. And empowered to Be You Here. More reasons you'll love working here include: * Paid Time Off (PTO) after just 30 days * Additional parental and maternity leave benefits after 12 months * Adoption reimbursement program * Paid volunteer hours * Paid training and career development * Medical, dental, vision and life insurance * 401k with employer match * Mortgage discount and area business discounts * Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court * Wellness area, including an in-house primary-care physician's office, full-time massage therapist and hair salon * Gourmet cafeteria featuring homemade breakfast and lunch * Convenience store featuring healthy grab-and-go snacks * In-house Starbucks and Dunkin * Indoor/outdoor café with Wi-Fi DISCLAIMER All the above duties and responsibilities are essential job functions subject to reasonable accommodation and change. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. Team members may be required to perform other or different job-related duties as requested by their team lead, subject to reasonable accommodation. This document does not create an employment contract, implied or otherwise. Employment with UWM is "at-will." UWM is an Equal Opportunity Employer. By selecting "Apply for this job online" you provide consent to UWM to record phone call conversations between you and UWM to be used for quality control purposes.

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. 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. Responsibilities What you'll be able to do: Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a purely telecommuting/work-from-home position whereby the employee may reside anywhere within the U.S. Develop and deploy Natural Language Processing (NLP) models to extract insights from unstructured textual data. Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics. Design and implement data pre-processing and feature engineering techniques for NLP tasks. Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems. Evaluate and fine-tune models for performance optimization, accuracy, and efficiency. Contribute maintainable code to existing and new pipelines. Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of methodologies and algorithms. Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner. Qualifications You'll have... Master's degree or foreign equivalent in Computer Science, Data Science, Computer Engineering or related field and 3 years of experience in the job offered or related occupation. 3 years of experience with each of the following skills is required: 1. Developing NLP pipelines in Python using at least 2 of the following: NLTK, spa Cy, Gensim, or HuggingFace. 2. Implementing text preprocessing workflows, creating feature extraction algorithms, and building and training models with scikit-learn, TensorFlow, or PyTorch. 3. Developing reusable modules for NLP and writing production-ready code. 4. Querying large datasets in SQL to extract textual information. 5. Designing database schemas optimized for NLP applications. 6. Writing complex queries to join structured and unstructured data sources. 7. Creating ETL processes for text data, optimizing query performance for large text corpora, and implementing database operations in analytics pipelines. 8. Applying supervised Machine Learning techniques to NLP problems, implementing unsupervised methods for text analysis, evaluating model performance with appropriate metrics, building ensemble models, conducting hyperparameter optimization, and applying transfer learning with pre-trained embeddings. 9. Deploying NLP models and pipelines on Google Cloud Platform (GCP) infrastructure. 10. Utilizing AI Platform for training and serving ML models. 11. Managing data storage with Cloud Storage, BigQuery, or Cloud SQL. 12. Implementing data processing pipelines with Dataflow or Dataproc. 2 years of experience with each of the following skills is required: 1. Managing code versioning for collaborative NLP model development, implementing code review processes, and resolving merge conflicts in multi-developer environments. 2. Using Git for CI/CD integration with model deployment and organizing repositories for maintainable ML codebases. 1 year of experience with each of the following skills is required: 1. Using Cloud Functions for serverless text processing and monitoring model performance. 2. Containerizing NLP applications for deployment, creating and managing deployment configurations, and setting up routes and services with OpenShift. 3. Implementing resource allocation and scaling strategies, configuring persistent storage for models and data, and managing deployments with rolling updates. 4. Fine-tuning pre-trained Large Language Models (BERT, GPT, or T5) for domain-specific tasks. 5. Implementing prompt engineering techniques and evaluating LLM outputs for accuracy. 6. Creating embeddings for semantic search, optimizing inference for production, and reducing hallucinations and improving factuality. 7. Building CI/CD pipelines in Tekton for NLP model deployment. 8. Creating reusable pipeline components for text processing, managing workflow triggers, and implementing testing and validation steps. 9. Configuring resource requirements, integrating model evaluation metrics, and setting up automated retraining pipelines. We are offering a salary of $107,848.00 - $182,338.56/yr. 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 child care 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 a detailed look at our benefits, click here: ******************************* 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 **************. #LI-DNI #DNP

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.

Under general supervision, applies knowledge of statistics, machine learning, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity. Analysis focuses on product warranty related data sets that may be applied to various areas of the business (e.g, Manufacturing, Design, Marketing/Advertising, etc.). ESSENTIAL DUTIES AND RESPONSIBILITIES: * Develops and maintains statistical models capable of extracting valuable business and/or technical insights from large data sets. * Proactively participates in developing scalable Business Intelligence (BI) and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining. * Assists with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions. * Performs data manipulation and analytics and translate insights into actionable recommendations to management and customers.. * Prepares presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders. * Facilitates training and education of associates related to new systems and procedures. * Creates standards for process improvement projects using Data Analytics and Statistical Analysis Theory. * Applies statistical expertise to advance current and future regional initiatives. * Maintains current knowledge of industry trends in the field of Big Data Analytics by attending related seminars, conferences and training sessions. * Performs other duties as assigned. QUALIFICATIONS: * Bachelor's Degree in math, statistics, computer science, software engineering or a related field * Experience with Node.js, SQL, Python, API's, MySQL/MongoDB, large language models, and business intelligence tools. * 0+ years of related experience SKILLS AND ABILITIES: * Experience with databases and large data sets and related reporting tools * Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations * Basic knowledge of automotive parts and related vehicle systems (e.g, charging/starting electrical, emission, HVAC systems, vehicle electronic components). * Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management. * Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional team * Continuous improvement mindset * Ability to apply process improvement planning and checking to own work output and to assist others with identifying gaps in work results Benefits Summary: * Health, Dental, Vision, Prescription Drug plans * Life and Accidental Death & Dismemberment Insurance * Flexible Spending Account * Employee Assistance Program * 401K with 4% company match * Bonus Program * Wellness Program * Onsite Fitness Center (vary by location) * Tuition Reimbursement * Career Development and Ongoing Training * Paid holidays and vacation * Cafeteria and food markets (vary by location) * Volunteer opportunities * Employee recognition (employee and milestone events) Annual Salary: $78,000 - $98,000

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.

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what “mobility” means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all. TEAMAt Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work includes a diverse array of challenges and activities, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications. WHO ARE WE LOOKING FOR?The team is looking for a Senior Data Scientist to spearhead the creation and deployment of sophisticated data models and algorithms to tackle business challenges for the Autonomy team. You will enhance and streamline scalable data pipelines, automation systems for machine learning, and performance assessment. You will also develop algorithms, pipelines and key strategies to optimize the utilization of large-scale fleet data for our next-generation automated driving solutions, influencing millions of Toyota customer vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.RESPONSIBILITIES Lead the development of complex data models and algorithms to solve business problems for the Autonomy team. Design and implement data strategies for collecting, sampling, labeling, and using large scale datasets to enhance machine learning model performance. Develop metrics and tools for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. Analyze model performance metrics, model failure modes, statistical relevance of datasets, etc. to guide the overall ML engineering effort. Design and improve scalable data pipelines and automation for machine learning and performance evaluation. Prepare and present detailed reports and visualizations to stakeholders, clearly communicating complex results to both technical and non-technical audiences. Stay current with advancements in data science and machine learning technologies, driving the adoption of best practices. Work in a high-velocity environment and employ agile development practices. Exhibit a "Giver" mindset, proactively asking, “What can I do for you?” to facilitate production development processes while maintaining a "get things done" mentality. Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions. Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week. MINIMUM QUALIFICATIONS MS or PhD in a quantitative field (e.g. Statistics, Mathematics, Physics) 3+ years of experience solving large-scale data science problems 2+ years of experience with Python and SQL data analysis libraries and packages Experience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling) Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluation Strong communication skills with the ability to communicate concepts clearly and precisely. NICE-TO-HAVES Conducting thorough analyses of large-scale multimodal driving data Leveraging statistical techniques and machine learning algorithms to derive data insights Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions Experience with temporal/sequential and/or spatial data Experience with computer vision (e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping) Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control) Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation). For positions based in Palo Alto, CA, the base pay for this position ranges from $161,000- $264,500 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFERWe are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding 401k program・Flexible vacation policy・Family planning and care benefits Our Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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

Why GM Financial? GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture - an environment that welcomes new ideas, fosters integrity and creates a sense of community and belonging. Here we do more than work - we thrive. Our Purpose: We pioneer the innovations that move and connect people to what matters What makes you an ideal candidate? Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques as well as hands-on experience with NLP, LLMs, and Agentic RAG-based solutions Advanced skills and proficiency in Python, SAS, SQL Ability to design and implement model deployment, documentation and monitoring protocols Comprehensive knowledge and experience with data engineering, and data analysis techniques in cloud environments (Azure/Databricks/AWS/GCP) Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems Ability to interact collaboratively with internal and external customers Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure Domain experience in automotive, telematics, warranty and claim operations Experience and Education 5-7 years in related field or function required Experience leading through mentorship in related field preferred Experience leading projects and initiatives through influence preferred High School Diploma or equivalent required Master's Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required (a combination of education, certifications, and/or work experience may be considered in lieu of an advanced degree) What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive. Compensation: Competitive pay and bonus eligibility Work Life Balance: Flexible hybrid work environment, minimum of 2-days a week in Fort Worth, TX We cannot provide any visa sponsorship for this role now or in the future. About the role: GM Financial is targeting significant growth as it transforms the Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market and we work hands on with our dealer partners to improve performance in their F&I department. To provide the most competitive products and business insights, we are building advanced data and analytics capabilities. The Lead Data Scientist will play a critical role in advancing data science solutions that drive marketing effectiveness and optimize claims management for GM Protection. This position will lead the end-to-end design, development, deployment, and maintenance of advanced analytical and AI-driven systems, ensuring robust, scalable, and production-ready solutions. As a senior technical expert, you will guide projects from concept to production, embedding automation and engineering rigor into workflows to enable continuous integration and reliable delivery. The role demands deep expertise in quantitative methods, strong knowledge of data ecosystems and modern tooling, and a commitment to engineering excellence through code quality, peer reviews, and best practices. You will collaborate closely with cross-functional teams to translate business objectives into actionable solutions, mentor other data scientists, and champion innovation and operational discipline across the data science lifecycle. In this role you will: Provide leadership, coaching, and/or mentoring to data science team Lead the design, development and deployment of advanced mathematical and AI/ML solutions, including NLP and LLM-based systems. Apply advanced analytics to uncover patterns, detect anomalies, and model sequential behaviors in complex datasets. Drive engineering excellence through code reviews, quality standards, and mentoring across the data science team. Establish monitoring frameworks for model performance, drift detection, and continuous improvement. Ensure delivered products meet key business metrics, collaborate with partners to translate objectives into actionable solutions, and advise leadership on strategic use of analytics. Seek needed information and conduct research projects from design through analysis, summarizing findings and communicating insights, recommendations and implications to senior leadership. Prioritize effectively and deliver results within deadlines in a fast-paced environment.

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.

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

Job Title - Sr Data Scientist * Please note, this role is not able to offer visa transfer or sponsorship now or in the future* We are Cognizant - AIA - Artificial Intelligence and Analytics About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies! Summary As a Consultant/Senior Data Scientist , you will partner with Customer's Design Cost and Complexity Analytics team to deliver advanced analytics and machine learning solutions that optimize vehicle cost and complexity. This role requires deep expertise in data science, strong analytical skills, and the ability to drive strategic insights for operational efficiency and competitive advantage. Roles & Responsibilities Engage with stakeholders to understand complex business requirements and translate them into advanced data science solutions. Provide strategic insights to reduce material costs and optimize design complexity. Design and implement predictive and prescriptive models, leveraging cutting-edge machine learning algorithms. Apply techniques such as data mining, statistical modeling, and optimization algorithms to uncover actionable patterns and trends. Develop robust data pipelines for data ingestion, augmentation, and analysis, ensuring scalability and automation. Optimize model performance for large-scale datasets and production environments. Stay ahead of emerging trends in AI/ML, data science, and analytics tools. Introduce innovative approaches to enhance accuracy, efficiency, and robustness of models. Work closely with cross-functional teams to embed analytics into design workflows. Deliver product backlog items aligned with Ford's strategic objectives and timelines. Required Skills Expertise in Python, SQL, and advanced data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong background in machine learning, predictive analytics, and optimization techniques. Solid foundation in mathematics, statistics, and algorithm design. Experience with cloud platforms GCP and scalable data solutions. Excellent problem-solving, communication, and stakeholder management skills. Knowledge of automotive design processes and cost modeling is highly desirable. * Qualifications Master's degree (MS) in Data Science, Computer Science, Statistics, or related field required. Ph.D. preferred in Data Science, Machine Learning, or a quantitative discipline. * Experience Level 8+ years of experience in data science, analytics, and machine learning, with proven ability to deliver enterprise-scale solutions. * Work Location Dearborn, MI - 4 days at onsite Salary and Other Compensation: Applications will be accepted until Dec 20th 2025 The annual salary for this position is between $130K+ depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans. 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 salary, 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. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. * Cognizant is a global community with more than 300,000 associates around the world. * We don't just dream of a better way - we make it happen. * We take care of our people, clients, company, communities and climate by doing what's right. * We foster an innovative environment where you can build the career path that's right for you. About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at ***************** Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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.

The Opportunity Williams International has an exciting opportunity for an experienced Data Analytics Engineer to join our Advanced Development Team. is 100% onsite and no remote or hybrid work is available at this time. The Data Analytics Engineer will be responsible for: * Design and implement automated test scripts using Python, leveraging libraries like Pandas, NumPy, and SciPy for data manipulation, analysis, and visualization of engine performance metrics. * Utilize version control systems, particularly Bitbucket (or Git), for collaborative code development, branching, merging, and pull requests. * Analyze and interpret test data to identify trends, anomalies, and areas requiring further investigation. * Identify, document, and track defects using appropriate tools. * Collaborate with development teams to troubleshoot and resolve issues. * Participate in code and design reviews to provide feedback on testability and potential issues. * Improve testing processes and methodologies, advocating for best practices. * Communicate test results and findings to stakeholders, including technical and non-technical audiences. Qualifications * Bachelor's Degree in Computer Science, Software Engineering, or a related engineering field * At least 5 years of work experience in a data-driven professional setting * Data analysis experience in Python programming, including experience with data analysis libraries and test automation frameworks * Experience with Agile development methodologies and tools such as Jira and Bitbucket. * Experience with analytical methodologies and the desire to solve new technical challenges * Experience with data analysis tools and techniques, including data manipulation, visualization, and statistical analysis * Solid understanding of debugging and root cause analysis. * Self-starter who can work well within a team or independently with minimal oversight * U.S. Citizenship is required * Position requires the ability to obtain a U. S. Government Security Clearance, if needed Candidates selected may be subject to a U. S. Government security investigation and must meet eligibility requirements for access to classified information. For more information on Security Clearances, please visit: Department of State Additional Information Williams International is a Drug Free Workplace where all new team members and contractors are subject to pre-employment drug testing for the following controlled substances: marijuana, cocaine, PCP, amphetamines, opioids, and alcohol as policy dictates. Williams International is committed to equal employment opportunities for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, and protected veteran status. Please view Equal Employment Opportunity Posters provided by OFCCP here. If you are interested in applying for employment with Williams International and need special assistance or an accommodation to use our website or to apply for a position due to a physical and/or mental disability, please send an e-mail with your request to *******************. Or, please call ************. Determination on requests for reasonable accommodation is made on a case-by-case basis.

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

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: [email protected] #CJ $112,597.33 - $152,810.66 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Lear For You We work hard for the people who work for us. We champion our teams. We foster collaboration, inclusion, respect and excellence. What we are trying to say is we want to be more for you. We are your path to a better career, a better future, and a better you. Our teams have invented groundbreaking technologies, flawlessly manufactured millions of products and earned a long list of awards. Year after year, we are one of the World's Most Admired Companies. Our teams are the secret to our success. They are empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we all understand that we must work together to win. Are you ready for a better career? A better future? We're Lear For You. SR. DATA ENGINEER, PALANTIR FOUNDRY SOUTHFIELD, MICHIGAN - WORLD HEADQUARTERS As a member of the IT Central Foundry COE team, the Sr. Software Engineer will be a highly motivated self-starter that embraces the challenge of implementing digital transformation while being part of the AI revolution at Lear! They will design, build, and deploy data-driven solutions that optimize operations across Lear's global manufacturing, supply chain and administrative functions. Collaborate with cross-functional teams to translate complex business problems into scalable Foundry based solutions. The Role: Your work will include, but not be limited to: * Developing and maintaining Foundry pipelines, code-repos, ontology objects, applications, operational dashboards AI Agents and AIP workflows. * Partnering with engineering, finance, and operations teams to identify opportunities to deliver digital transformation. * Designing and implementing custom workflows in Palantir Foundry to aggregate and analyze data from diverse sources like ERP, Shop-Floor/MES, Financial, Program Management and Engineering systems. Through agile development cycles that include rapid prototyping, MVP creation through fully functional production systems. * Supporting the rollout of new Foundry features and upgrades across Lear's global operations. * Providing technical expertise and training to end-users, empowering teams to leverage Foundry for analytics, reporting and AI/ML. Advantages of working at Lear in the IT Central Foundry COE group: * Access to cutting-edge technology and continuous learning opportunities through Lear's partnership with Palantir. * Collaborate with a diverse, talented team of engineers, data scientists, and business experts across the globe. * Be part of a high-impact, innovation-driven team at the forefront of digital transformation at a Fortune 500 company. Your Qualifications: * Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Economics or a related field. * 2+ years of experience working with Palantir Foundry. * 5+ years of experience in Big Data, Data Engineering, Data Analytics, ETL experience (Snowflake, Databricks, PowerBI etc.). * Strong proficiency and experience in Python, R, Spark SQL, and data modeling concepts. * Excellent problem-solving skills and ability to work independently and in teams. * Strong communication skills to engage with both technical and non-technical stakeholders. * Familiarity with agile methodologies, DevOps practices, and tools like Git, Docker, or Kubernetes for scalable deployments. Bonus If You Have: * Master's degree in a relevant discipline. * ERP, PLM, Engineering or other corporate systems experience in a large scale manufacturing environment. * Prior experience in a Forward Deployed Engineer or similar client-facing technical role. * Speak multiple languages. Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace. Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation. Location Code: 0090 Nearest Major Market: Detroit