Senior data scientist jobs in Green Bay, WI - 346 jobs

SummaryWomen's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices-transforming hardware into intelligent platforms that deliver enhanced clinical and operational value. The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. The project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks.Job Description ** No OPT or Sponsorship for this role ** ** This role is a hybrid position, in-office 2-3 days/week ** As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: Work with customers to capture data and analytics requirements Develop, verify, and validate analytics to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Requirements: Education- Master's or PhD in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math). Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired. Minimum of 7 years of professional experience in AI product development. Experience in medical device development Technical Expertise- Demonstrated skill in data management methods Demonstrated skill in feature extraction and realtime analytics development and deployment Demonstrated skill in prescriptive analytics and analytic prototyping Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments. Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production Specific Skills Include- Proficiency in python and deep learning frameworks such such a Tensorflow, PyTorch and open CV Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models Preferred Skills: Experience with model optimization for latency and throughput in online systems. Experience with large-scale CNNs or LLMs, vision transformers (VLMs), and self-supervised learning. Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code. Experience with multimodal data integration and systems combining images, video, and speech is highly desired. Experience with cloud computing platform, such as AWS or Azure is highly desired. Experience working with robotic simulation is desired. Domain Knowledge- Experience in medical device development is considered a strong asset. Experience in medical imaging AI development is highly desired Background in robotics or automation technologies is advantageous. Background in automated vehicle or robotic guidance is highly desired Demonstrated skill in defining and delivering customer value in these areas Experience with natural language processing is advantageous. Leadership- Demonstrated skill at working in a team setting Demonstrated skill in critical thinking and problem solving methods Demonstrated skill in project ownership and overseeing AI solution development interdentally. Demonstrated skill in presentation and influencing skills #Hybrid #LI-MH1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $139,200.00-$208,800.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

We are seeking a skilled and motivated Senior Data Scientist to join our dynamic and innovative Data Intelligence Organization. As a member of our Data Science team, you will play a crucial role in leveraging, building and developing analytical tools to solve complex business problems. You will also be expected to act as mentor to junior team members, growing their skillsets while working to advance your skillset and developing new solutions to add to the analytical tools available to the Data Science Team and the Data Intelligence Organization. This role will work on-site in Green Bay with in office expectations Monday - Thursday and optional remote work Friday's as business needs allow. JOB RESPONSIBILITIES Development: The expectation is that this individual will join the team being Expertly skilled in the following: Understanding of core processes: data collection, cleansing, data models, data modeling and data visualization. Understanding of the businesses for which Breakthrough provides solutions and products and how those solutions and products operate. While maintaining company coding standards, demonstrate the ability to build solutions, solve problems and develop in the coding languages used at Breakthrough (SQL, R, Python). Proficient in executing of the following: Advanced statistical modeling techniques (ML/AI) Data engineering concepts Optimization model methodologies Forecasting model development and management Ability to deploy developed models into a production system. This individual will be considered a mentor to junior members of the Data Science Team contributing to their professional growth. Innovation The Data Science Team is one of the teams at the forefront of innovation at Breakthrough. This individual will be expected to be a leader in the ideation that occurs within the team. This individual will be involved in leading white boarding sessions with other Data Science team members and team members outside of the Data Science Team. They will be expected to generate new ideas, foster discussion and be a leader in the innovation process. This individual will build innovative solutions such as simulations and proof-of-concepts that will be utilized for making key decisions by the business. This individual will also take part in the direction of junior team members in the development of innovative solutions. This individual will be expected to pay attention to industry trends and model development potential use cases to leverage new ideas at Breakthrough. Execution The responsibilities this individual also includes: Building data sets that they will use to estimate statistical and analytical models to solve complex analytical problems like forecasting and optimizations. Building data visualizations that communicate the results of the project to internal stakeholders. Communicating and presenting outcomes to internal and external stakeholders including senior leadership. Writing documentation that outlines the work done and reviewing more junior members' documentation Using code repositories for version control of models built This individual will be leading, assigning and managing the execution of projects and will not be a key contributor in all projects. This will involve: Talking with project owners from outside the Data Intelligence Organization. Presenting outcomes to leadership. Collaboration: This individual will need to have strong interpersonal skills with the ability to build rapport and establish credibility with stakeholders at all levels including senior leadership. Working with all team members and lead in the improvement of development processes. Embrace mentorship of junior team members and develop and execute training programs. QUALIFICATIONS Required: Bachelor's or Master's degree in Business Administration, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience. 5+ years working in data science-specific roles, with demonstrated experience working in roles that require proficiency with data modeling, statistical modeling, model deployment, data management and SQL-based development. Expert ability to develop effective data visualizations that are used by upper management in decision-making situations. Expertise in multiple programming languages, frameworks, and technologies, specifically Python, SQL, R, and orchestrators (DBT, Vertex, Airflow etc.). BigQuery experience a plus. Proficient understanding of database concepts and data modeling principles. Demonstrated high-level business acumen with a supply chain/transportation background being preferred. Excellent problem-solving skills and the ability to navigate complex analytical and data-related challenges. Advanced analytical skills with an emphasis on attention to detail and being able to look at a problem from multiple angles and perspectives. Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Women's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices-transforming hardware into intelligent platforms that deliver enhanced clinical and operational value. The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. The project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks. Job Description No OPT or Sponsorship for this role This role is a hybrid position, in-office 2-3 days/week As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: * Work with customers to capture data and analytics requirements * Develop, verify, and validate analytics to address customer needs and opportunities. * Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. * Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. * Perform exploratory and targeted data analyses using descriptive statistics and other methods. * Work with data engineers on data quality assessment, data cleansing and data analytics * Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. * Communicate methods, findings, and hypotheses with stakeholders. Requirements: Education- * Master's or PhD in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math). * Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired. * Minimum of 7 years of professional experience in AI product development. * Experience in medical device development Technical Expertise- * Demonstrated skill in data management methods * Demonstrated skill in feature extraction and realtime analytics development and deployment * Demonstrated skill in prescriptive analytics and analytic prototyping * Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments. * Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production Specific Skills Include- * Proficiency in python and deep learning frameworks such such a Tensorflow, PyTorch and open CV * Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models Preferred Skills: * Experience with model optimization for latency and throughput in online systems. * Experience with large-scale CNNs or LLMs, vision transformers (VLMs), and self-supervised learning. * Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code. * Experience with multimodal data integration and systems combining images, video, and speech is highly desired. * Experience with cloud computing platform, such as AWS or Azure is highly desired. * Experience working with robotic simulation is desired. Domain Knowledge- * Experience in medical device development is considered a strong asset. * Experience in medical imaging AI development is highly desired * Background in robotics or automation technologies is advantageous. * Background in automated vehicle or robotic guidance is highly desired * Demonstrated skill in defining and delivering customer value in these areas * Experience with natural language processing is advantageous. Leadership- * Demonstrated skill at working in a team setting * Demonstrated skill in critical thinking and problem solving methods * Demonstrated skill in project ownership and overseeing AI solution development interdentally. * Demonstrated skill in presentation and influencing skills #Hybrid #LI-MH1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $139,200.00-$208,800.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

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.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... We are looking for a Senior Data Scientist to support Design Cost and Complexity Analytics. A successful candidate must have experience in statistics and machine learning and be a proven communicator who effectively interfaces between technical and business teams. The ideal candidate will also have knowledge of cost modeling, product design (hardware), manufacturing, mechanical engineering or similar. This job is a good fit for you if you have strong critical thinking skills and enjoy working with users and deeply understanding the data. - We value being Smart. Nice. Curious. Communicative. You'll have... The minimum requirements we seek: • Bachelor's degree in engineering, Statistics, Data Science, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field or a related quantitative discipline. • 5+ years of experience using statistics, machine learning, and other advanced mathematical techniques for gaining insights from data • 5+ years of experience using Python, SQL or BigQuery for acquiring and transforming data • 5+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges • Experience with sampling and sample assessment techniques when data are not ideal, especially in structured data with data gaps (e.g. statistical design of experiments, factorial experimental design, Latin hypercube sampling, and others) • Comfortable working in an environment where problems are not always well-defined • Well-organized, a self-starter, independent and ready to work with minimal supervision • A respectful and committed teammate, willing to excel and work with talented people • Inquisitive, proactive, and interested in learning new tools and techniques • Proven quantitative modeling and statistical analysis skills Even better, you may have... Additional preferred requirements: • Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field. • Knowledge of cost modeling, product design (hardware), mechanical engineering or similar • Experience deploying Machine Learning in production (ideally MLOps) for internal or external use • Experience with Google Cloud Platform (GCP) or other cloud systems • Strong oral, written and interpersonal communication skills • Ability to effectively advocate technical solutions to peer, management and business audiences You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ***************************** This position is a range of salary grades 6-8. Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-MD2 What you'll do: • Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations • Work with large and small, complex data sets using tools such as SQL, BigQuery, and Python • Contribute and review code for our code base in GitHub • Make sense of, clean, and assess validity and completeness of data samples from Ford's products, services, and supply chain. • Deliver insights, models, and tools using statistical analysis, sample validation, machine learning, algorithm design, and feature engineering • Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership • Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers • Develop trust with stakeholders and peers by delivering results on time • Ensure overall quality of the data & solutions throughout the development process • Provide training and maintenance of implemented tools to business partners • Collect feedback from business users and continuously improve analytic products • Mentor more junior data scientists by being a role model and advisor on the above tasks • Find areas to lead and innovate as a Senior Data Scientist on the team

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.

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

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

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling. Job Description Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago. Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals. Research, recommend, and implement statistical post process correction techniques using proprietary forecasts. Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc. Improve operations by conducting systems analysis; recommending changes in policy and procedures. Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required. Continuously build your knowledge by studying new scientific methodologies and techniques. Play an active role in the product requirements process, giving feedback to product management when challenges arise. Qualifications MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. 3-5 years of relevant professional experience, with demonstrated achievements. Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc. Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus. Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary. Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. Programming capabilities including C++, Java, Python is a plus but not necessary. Additional Information

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling. Job Description Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago. Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals. Research, recommend, and implement statistical post process correction techniques using proprietary forecasts. Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc. Improve operations by conducting systems analysis; recommending changes in policy and procedures. Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required. Continuously build your knowledge by studying new scientific methodologies and techniques. Play an active role in the product requirements process, giving feedback to product management when challenges arise. Qualifications MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. 3-5 years of relevant professional experience, with demonstrated achievements. Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc. Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus. Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary. Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. Programming capabilities including C++, Java, Python is a plus but not necessary. Additional Information

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

Senior Data Scientist - Promo Analytics **Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success-so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Senior Data Scientist - Promo Analytics, you will deliver innovative analytics solutions that enable Milwaukee Tool to make fast, data-driven decisions about promotional strategies. Working closely with business partners and the Promo Analytics pod, you will design, build, and support the core systems that power our promo analytics capabilities. You will develop scalable machine learning models and forecasting tools to optimize promotions, ensuring trusted and actionable insights across the organization. You'll build deep expertise in our promotional data and drive advanced analytics initiatives. Success in this role requires curiosity, a passion for experimentation, and the ability to operate independently while effectively engaging with stakeholders to elevate our team and deliver value to our customers. You'll be DISRUPTIVE through these duties and responsibilities: Design and build machine learning and forecasting models to optimize promotional strategies and deliver measurable business value. Develop, validate, and deploy advanced statistical and ML models for pricing, promotion, and revenue management. Translate business needs into actionable data science projects and deliverables within the promo analytics domain. Apply best practices in model development, experimentation, and continuous improvement to ensure analytics excellence. Analyze large, complex datasets using Databricks, Azure, and other modern data platforms to uncover actionable insights. Build and maintain analytics tools and templates to support team productivity and solution delivery. Conduct root cause analysis for promo analytics issues and contribute to long-term remediation and reliability improvements. Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members in a pod structure. Work directly with marketing and sales teams to understand business challenges and deliver impactful analytics solutions. Perform other duties as assigned. The TOOLS you'll bring with you: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience. 5 or more years of experience in data science, advanced analytics, or a closely related technical field. Advanced proficiency in statistical modeling, machine learning, and analytics techniques. Proficiency in at least one programming language used for data science (Python preferred) Hands-on experience building, validating, and deploying machine learning and forecasting models in production environments. Experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Demonstrated ability to develop and implement statistical and ML models for business impact, ideally in pricing, promotion, or revenue management. Knowledge of experimental design, A/B testing, and model evaluation best practices. Ability to work independently and collaboratively within cross-functional teams. Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments. Ability to thrive in agile, dynamic, and collaborative teams, and to communicate complex analytics clearly to technical and non-technical audiences. Other TOOLS we prefer you to have: Experience with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning). Familiarity with promo, pricing, or revenue management analytics. Experience with Databricks, Azure Machine Learning, or similar cloud-based data science platforms. Experience with experimentation frameworks (A/B testing, multivariate testing). Knowledge of data visualization tools (e.g., Power BI, Tableau, matplotlib, or similar). Experience working with large, complex datasets in a business context. Experience collaborating in Agile, cross-functional teams. Strong communication skills for presenting complex analytics to technical and non-technical audiences. Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and/or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE. Milwaukee Tool is an equal opportunity employer.

The Staff Data Scientist plays a critical role in leveraging data to drive business insights, optimize operations, and support strategic decision-making. You will be responsible for designing and implementing advanced analytical models, developing data pipelines, and applying statistical and machine learning techniques to solve complex business challenges. This position requires a balance of technical expertise, business acumen, and communication skills to translate data findings into actionable recommendations. + Develop and apply data solutions for cleansing data to remove errors and review consistency. + Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions. + Gather data, find patterns and relationships and create prediction models to evaluate client assets. + Conduct research and apply existing data science methods to business line problems. + Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Collaborate with cross-functional stakeholders to assess needs, provide assistance and resolve problems. + Translate business problems into data science solutions. + Performs other duties as assigned + Complies with all policies and standards **Qualifications** + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required or experience may be substituted for degree requirement required + Experience in data mining and predictive analytics. + Strong problem-solving skills, analytical thinking, attention to detail and hypothesis-driven approach. + Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. + Proficiency with data visualization tools (Power BI, Tableau, or Python libraries). + Experience with Azure Machine Learning, Databricks, or similar ML platforms. + Expert proficiency in Python with pandas, scikit-learn, and statistical libraries. + Advanced SQL skills and experience with large datasets. + Experience with predictive modeling, time series analysis, and statistical inference. + Knowledge of A/B testing, experimental design, and causal inference. + Familiarity with computer vision for image/video analysis. + Understanding of NLP techniques for document processing. + Experience with optimization algorithms and operations research techniques preferred. + Knowledge of machine learning algorithms, feature engineering, and model evaluation. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans **Job** Information Technology **Primary Location** US-WI-Appleton **Schedule:** Full-time **Travel:** Yes, 5 % of the Time **Req ID:** 253790 \#LI-MF #ACO N/A

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

The Role: As part of the Data and Analytics division of JD Power, you will work to understand the features that drive the price of a vehicle and predict what future vehicle values will be, and other critical insights for the sector. Our data science team is accountable for every data point we output and provides accurate, transparent, industry-leading analytics. We are looking for a Data Scientist who will have the freedom to utilize the latest technologies to solve challenging problems, create innovative machine learning processes from the ground up, deploy them into production. We are a mature and tight-knit data science team looking to add another top-shelf team member who is ready to make a difference in the automotive industry. Join us! The Impact: We make data products and every new data product we output will solve a problem in the auto industry. Every Data Scientist will build models that go into production and directly impact our core products. About the Job: Daily immersion in automotive industry data Involved in strategic planning and decision-making for data science initiatives. Independently create decks to make highly technical predictions relatable to the automotive industry Documentation of machine learning processes Deep expertise in advanced feature engineering and AI/ML model building. Development and consulting expert in SQL, Python, Advanced Excel along with a framework such as AWS SageMaker or Palantir Data Science Integrations. Collaborate closely with technology and engineering teams to improve existing processes and build out new ones Work with the product team to develop the analytics that will power new products Leads PI (Program Increment) planning for activities to be conducted in the next quarter, with limited supervision, for major developmental modules or projects . Create visual reports for internal and external clients that summarize findings Team environment that encourages the sharing of ideas to build the best predictive algorithms Ad-hoc data analysis and reporting What You Need: Demonstrated expertise with data analytics and/or statistical concepts such as: regression, logistic regression, time-series modeling, Bayesian statistics, machine learning, data mining, simulation, optimization, and/or forecasting Ability to communicate technical processes to a lay audience Presentation experience Curiosity and passion for solving problems with data 8+ years of professional experience working with large datasets 8+ years of professional experience and full fluency with statistical programming software (including Python, Spark) 8+ years of professional experience with database software (RedShift, Hive, SQL, MYSQL) - full mastery of some flavor of SQL Master's Degree in Statistics, Data Science, Economics, or a related technical field Nice to Have: Experience with automotive market data Professional expertise deploying cloud-based ML Ops systems Experience working with AWS tools (Sagemaker, Glue, Batch, Lamdba…) Some shareable examples of data visualizations you have created Experience deploying machine learning models into production with an API PhD in Statistics, Data Science, Economics, or related field The Career Opportunity: Grow as a full-stack data scientist in a medium-sized team. You will pipeline data, build models, deploy them in the cloud, and build monitoring suites. Company Mission J.D. Power is clear about what we do to ensure our success into the future. We unite industry leading data and insights with world-class technology to solve our clients' toughest challenges. Our Values At J.D. Power, we strive to be Truth Finders, Change Makers and Team Driven - the distinct behaviors that, together, define our unique culture. J.D. Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Should you require accommodations during the recruitment and selection process, please reach out to **********************. J.D. Power does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, J.D. Power has international sites and J.D. Power uses resources located throughout the world. J.D. Power may from time to time also use third parties to act on J.D. Power's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within J.D. Power group of companies as well as to third parties acting on J.D. Power's behalf, including also transfers to servers and databases outside the country where you provided J.D. Power with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are a California or United Kingdom resident, additional disclosures about the information we collect and how we use that information can be found by clicking here. To all recruitment agencies: J.D. Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.

Direct Supply, Inc. is currently seeking a Senior Data Scientist to develop, deploy and manage Generative Artificial Intelligence and Machine Learning Operations (AI/ML) solutions that address complex business challenges in Milwaukee, WI. Duties include: Partner with cross functional teams Business Analysts, Engineers, Data Scientists and university researchers to design experiments, build and implement scalable IA solutions; Understand scope, validate requirements, and translate business problems into data science problem statements; Solve business models algorithmically using econometric approaches (zero-sum games, multi-market models, optimization); Create and maintain AI/ML solutions on programming platforms (Spark/Scala, R, Python, Hadoop) and utilize big data/cloud solutions (AWS, Azure); Deploy AI machine vision, natural language processing, and voice solutions in cloud-based production environments as a service on cloud platforms; Use querying languages like SQL to perform data analysis and validate solutions using data structures and external data sets; Build data pipelines and leverage database technologies to troubleshoot, retrain, analyze and update AI/ML implementations (Kafka, Storm, MS SQL Server, Neo4J, HDFS, Redshift, S3 etc.); Build presentations, reporting and visualizations for business consumption using Rmarkdown, shiny server, bokeh, matplotlib, and ggplot; and Leverage open source/off the shelf Generative AI models to create Minimal Viable Products. The minimum requirements for the Senior Data Scientist position are a Masters' Degree (or foreign equivalent) in Computational Science, Computer Science, Computer Engineering, Mathematics, Statistics; or a related degree; and 3 years data-driven consultation experience gained through any combination of Post-Master's-level assistantship, research or professional experience which must include (and can be gained concurrently): 3 years using programming tools: R, MATLAB, or Python; 3 years using database technologies: SQL Server, Postgres, MongoDB or Neo4j; 2 years building or researching AI/ML solutions using ML Engineering frameworks: PyTorch, TensorFlow, Flask, or Huggingface, and tools: AWS Sagemaker, Colab, Pandas, Numpy, OpenCV, Scikit-learn, Docker or MLFlow in an AWS or Azure cloud environment; 2 years working with data visualization tools Tableau or Shiny; and 2 years using statistical learning approaches: dimension reduction, sampling, cross validation, support vector machines, or generalized linear models. Pre-employment drug test required. Candidate must have references for work experience that confirm experience. Candidates will also be subject to a criminal background check, and may be rejected if criminal convictions are substantially related to the position applied for, in accordance with applicable law. For more information, contact or reply by résumé to Becky Ryan, HR Specialist, Direct Supply, Inc., 7301 W. Champions Way, Milwaukee, WI 53223 (Phone) ************ (E-mail) ************************** #LI-DNI Job to be performed in the location listed. Generous benefit package available. Click here to learn more. Direct Supply, Inc. and its U.S. subsidiaries are equal opportunity and affirmative action employers committed to diverse workforces. © 2013 to 2026 Direct Supply, Inc. All rights reserved.

You and Northwestern Mutual. We believe relationships are built on trust. That our lives and our work matter. And we're much stronger together than we are apart. These beliefs launched our company nearly 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. Our business is about helping people secure their financial futures, and that starts with putting people first - our clients, our employees and our field representatives. Northwestern Mutual is known for financial strength. We're strong, innovative and growing. Come grow with us. Job Description At Northwestern Mutual, we believe relationships are built on trust. That our lives and our work matter. These beliefs launched our company nearly 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. We're strong and growing. In a company with such a long and storied history, this may be the most exciting and important time to be a part of Northwestern Mutual. We're strong, innovative and growing. We invest in our people. We provide opportunities for employees to grow themselves, their career and in turn, our business. We care. We make a positive difference in our communities. Nationally, thousands have benefitted from our support of research and programs to fight childhood cancer. Each year, our Foundation, employees and financial representatives donate time, talent and financial support to causes they're passionate about. We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law. What's the role? We collaborate with internal business partners to implement data-driven solutions with measurable business value. Our innovative team of data scientists work in a highly collaborative, agile environment. As a Data Scientist, you will work with a diverse and talented team with responsibilities that include: Application of statistical and machine driven techniques to address business objectives and client needs; Building relationships and collaborating with stakeholders to gather, consolidate and validate business assumptions prior to undertaking analytical work; Collaborating within team to research, evaluate and select data sources; Partner with team to document requirements, assumptions and methodologies including validating, testing and implementation strategies; Designing rich data visualizations to communicate complex ideas to internal clients and leaders; Assuring compliance with regulatory and privacy requirements during design and implementation of database development, modeling and analysis projects; Creating clear and easy to understand presentations/reports Maintaining a high level of understanding of cutting edge data science techniques and tools; Bring Your Best! What this role needs: Graduate Degree in quantitative disciplines such as Data Science, Statistics, Mathematics, Economics, Computer Science or related field Experience in statistical modeling and data mining using large and complex datasets Strong intellectual curiosity and willingness to adapt data science concepts and tools to solve real-world, business problems Demonstrated experience in influencing business decisions; including knowing when to escalate issues. Strong verbal and written communication skills, listening and teamwork skills and effective presentation skills Demonstrated competencies such as excellent relationship management, creative problem solving, flexibility and willingness to challenge the status quo Programming experience with SAS, R and other software, SQL server or Hadoop experience is a plus. #LI-PB1 Req ID: 10401 Position Type: Regular Full Time Education Experience: Bachelor's Required Employment Experience: 6-8 years Licenses/Certifications: FLSA Status: Exempt Posting Date: 01/10/2017

ABS Global, a Genus Company, has an exciting opportunity. The Dairy Product Development group at ABS Global is seeking a data driven problem solver with a strong interest in applied data science and analytics to help shape the future of animal breeding. This role focuses on transforming large-scale genetic and phenotypic datasets into actionable insights that directly influence breeding strategies and economic outcomes. You will join a growing, technically oriented team that applies modern data workflows, analytics, and computational tools to real-world data (RWD). While grounded in the dairy industry, this position is well suited for candidates who enjoy working with datasets, databases, and analytical systems and want to apply those skills in a domain with tangible, global impact. The position is based in the general Madison, WI area and is physically located in DeForest, WI. You Will Collection, loading, and tracking of quality monthly farm data into ABS's Real World Database (RWD ) Recruitment and maintenance of RWD data including set-up of new herds, monitoring of on-farm software program changes, and database maintenance Providing support and resources on the RWD database including providing statistics on herd demographics and quality of on-farm data recording Providing support and resources for validation and incorporation of new farm software into RWD Identify areas for and help implement improvements to overall data workflow process Collaboration with dairy genetic research team in trait definition and development of proprietary genetic evaluations Provide support and training to others within company on dairy data and major dairy herd management software Data analysis and report development Requirements Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics, Animal Science, Dairy Science, or a related quantitative field Strong intellectual curiosity with a demonstrated ability to translate complex data into actionable insights . Strong interest in data manipulation and data pipeline development. Experience with simple workflow automation and database familiarity Familiarity with Linux/Unix environments and experience with at least one programming or data analytics language or tool (e.g., R, My( SQL ) , SAS , Python, Microsoft Access, Power BI), or a strong willingness to learn Understanding data management, data quality, and analytical workflows; experience with databases or automated data pipelines is a plus Experience with dairy farm management software (e.g., DairyComp 305, PCDART, DHIPlus, BoviSync, DelPro, Lely) is beneficial but not required Dairy Challenge experience preferred Strong written and verbal communication skills; fluent in English Willingness to learn and take feedback Business Overview Genus is an agricultural biotechnology pioneer. We are a global FTSE 250 company, headquartered in the UK, and listed on the London Stock Exchange. Genus PLC has a presence in over 70 countries and a global workforce of over 3,000 employees and growing. We are a worldwide leader in porcine and bovine animal genetics, partnering with farmers to transform how we nourish the world - a mission that is important to a sustainable future. ABS Global is a Genus company and is the world-leading provider of bovine genetics, reproductive services, technologies and udder care products. Marketing in more than 70 countries around the globe, ABS has been at the forefront of animal genetics and technology since its founding in 1941. We are uniquely positioned as a global player with a dedicated research and development function and an international distribution network. We breed and distribute the genes of the world's best bulls, scientifically selecting livestock whose offspring is designed to increase the profitability of our customers who are some of the world's biggest farmers and food producers. IntelliGen Technologies is the technology within ABS that develops sexed bovine genetics that helps customers maximize their profitability and reach their end goals in a fast and efficient manner. Our vision is clear: Pioneering animal genetic improvement to sustainably nourish the world. Benefits Overview At Genus, we offer a competitive salary. Benefits include health, dental, vision, FSA/HSA, long and short-term disability, 401K, tuition reimbursement, paid holidays and ETO (earned time off). This position will have opportunity for growth. Equal Employment Opportunities Genus is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Genus prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Genus conforms to the spirit as well as to the letter of all applicable laws and regulations. Recruitment Fraud Warning Genus plc will never ask you to provide fees or payment for computer, software, or other equipment or supplies during the recruitment and/or onboarding process. If you have any questions about your individual application, please contact the Genus Talent Acquisition team at ***********************. Receive email notifications about our latest career opportunities, news and updates directly to your mailbox. Click here to sign up.

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