Data scientist jobs in Coldwater, MI - 1,087 jobs

Join MonoSol's forward thinking Quality team and turn raw manufacturing data into actionable insights that raise product quality and process efficiency. You'll sit at the intersection of data science and manufacturing engineering to mine and utilize high-frequency production data for building predictive models and guiding teams on the levers that control critical quality attributes. You'll be an internal expert who bridges advanced data science with practical plant operations and a critical member to drive digital transformation across the company. Responsibilities Leadership and Direction Champion best practices in data governance, reproducibility, and experiment design; contribute to MonoSol's growing analytics community. Data Engineering Connect to historians/MES (manufacturing execution software), write efficient data pipelines to profile large time-series and batch datasets to discover key factors driving manufacturing defects and variability. Predictive Modeling & Analytics Train, test, and maintain regression/classification models (e.g. linear regression, XGBoost, TensorFlow). Emphasize and effectively communicate model outputs to key stakeholders. Performance Improvement through ML Integrate predictive models with real-time dashboards or control-room alerts that have a positive financial impact Efficient Reporting with Visualization & Storytelling Build clear dashboards (e.g. Power BI, Spotfire, or Custom) and present findings to production, maintenance, and leadership teams Model Deployment & Monitoring Package models for deployment in production environments using either cloud-based or on-premises infrastructure as needed. Set up dashboards and alerts to provide near-real-time insights and leading indicators for operators and engineers. Data and Analytics Strategy Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy at MonoSol. Data Architecture Help define data standards (naming, sampling, governance) for projects. Continuous Improvement & Collaboration Partner across manufacturing teams to translate model outputs into actions; coach colleagues on data-driven methods. Translate model findings into root-cause actions. Personal Development Stay current on manufacturing analytics, MLOps, and Six Sigma best practices; pursue certifications or conferences as needed. Typical Tasks Extract, clean, and feature-engineer high-velocity plant data from manufacturing systems. Design and extract meaningful features from time-series, batch, and categorical data to improve model performance and interpretability. Build and evaluate predictive models (regularized linear regression, gaussian process regression, gradient boosting, neural networks); create simulation notebooks for process scenarios. Deploy models in production environments (cloud or on-premises) using APIs or integrated systems; monitor performance for drift and retrain as needed to maintain accuracy. Perform root cause analysis using data-driven techniques to identify sources of defects or process inefficiencies Create intuitive dashboards that link inputs to predicted quality metrics. Work closely with quality engineers, process engineers, and production teams to define the problem, validate model results, and co-develop solutions that are both technically sound and operationally practical. Document methodologies, models, and findings in a clear and reproducible manner. Present insights to operators, engineers, and executives Qualifications Education Bachelor's degree in chemical engineering, Mechanical Engineering, Data Science, Statistics, Computer Science, or related field (required). Master's or graduate certificate in Data Science, Analytics, or related field (preferred). Experience 3+ years of statistical modeling, applied machine learning, data science, or advanced analytics preferably in process control and manufacturing. Proven success in improving yield, uptime, or quality with statistical or ML models. Familiarity with statistical process control (SPC), control charts, and quality metrics. Six Sigma green belt or higher (preferred) Technical Skills Proficiency in Python or R for data analysis and modeling. (e.g., pandas/scikit-learn or dplyr/caret/tidymodels). Experience with deep learning frameworks (e.g. TensorFlow, py Torch) Strong SQL skills and working with relational databases; experience with cloud platforms (AWS SageMaker, Azure ML) is a plus. Soft Skills Ability to clearly communicate and translate model outputs into actionable recommendations for manufacturing-floor teams, engineering staff, and executive leadership. Comfortable working in cross-functional settings and driving change Applicable only to applicants applying to a position in any location with a pay disclosure requirements under state or local law: The compensation range that is described below is the possible base pay compensation that the company believes in good faith that it will pay for this role at the time of posting based on job grade for the position. Individual compensation within this range is based on many factors such as years of experience etc. so the company might pay more or less than the posted range and it is understood that this range may be modified in the future. In addition to base compensation, MonoSol provides a yearly incentive compensation bonus, a profit sharing bonus when eligible, a comprehensive benefits package including medical, dental, vision insurances, short term disability, long term disability, accidental death and dismemberment, term life insurance, voluntary term life insurance, transit flexible spending account (if applicable), employee assistance program, identity theft protection, 401k and paid time off (vacation and sick days). Compensation range - $86,907.87 - $146,142.27 Incentive Compensation Bonus Target - 10% Paid time off amount - 15 days Closing The above statements are intended to describe the general nature and level of the work being performed by employees assigned to this position. This is not intended as an exhaustive list of all responsibilities, duties, and skills required. MonoSol, LLC reserves the right to make changes to the job description whenever necessary. Disclaimer As part of MonoSol, LLC's employment process, finalist candidates will be required to complete a drug / alcohol test, physical, and background check prior to employment commencing. MonoSol, LLC is an equal opportunity employer. All qualified applicants will be considered without regard to race, national origin, gender, age, disability, sexual orientation, veteran status, or marital status.

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America Position Overview This role will be responsible for applying data mining techniques, cleaning data, incorporating AI and predictive models, and visualizing data to solve problems and innovate new ways of working for the global business. Effective communication skills, organization, innovative thinking, and a will to learn current business processes and new data science techniques are essential. Key Responsibilities: Description- * Translate data & analytics into business insights by working with global leaders and regional functional teams. * Design workflow with models using AI and machine learning models * Enhance data collection procedures to include information that is relevant for building analytic systems and to include more automation * Build workflows with advanced algorithms and models such as OCR, Translation, Generative AI etc. on data to extract or transform data to conform to business needs. * Identify, process, cleanse, and verify the integrity of data used for analysis Secondary Responsibilities: * Ability to achieve project goals and objectives by applying the discipline of planning, organizing, and managing resources to bring about successful project completion * Continuously seek out industry best practice and skills to develop new capabilities for data analytics at McCormick and help drive our digital transformation Required Qualifications Level of Education and Discipline: * Bachelor's degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field * Level of Education and Discipline: Master's Degree in related field Experience - functional/industry/commercial knowledge, business acumen: * Advanced analytical skillset. Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets * Demonstrated ability coding in one or more languages (Python preferred) * Experience with data visualization software (Power BI preferred) * Experience working with statistical models and AI algorithms Interpersonal Skills - leadership, interactions, communication, influence: * Strong technical curiosity and passion for problem solving and innovation * Ability to simplify and communicate complex information to internal audiences * Ongoing aspiration to learn about new industry tools * Continuous improvement mindset with the ability to use a systemic approach to problem solving & Ability to work with different regions and cultures Technical Skills- * Experience with Cloud based tools (Azure preferred) * Experience with an ERP system - SAP preferred. * Technical knowledge for Data environments, transformation, and ML Opps * Ability to connect the dots between complex data/analytics and business application * Technical knowledge for backend development * Experience training and working with ML models and AI algorithms Work Environment: Office At McCormick, we have over a 100-year legacy based on our "Power of People" principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical value WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you'll be empowered to focus on more than your individual responsibilities. You'll have the opportunity to be part of something bigger than yourself-to have a say in where the company is going and how it's growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

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.

Apply now Work Type: Office Working Employment Type: Permanent Job Description: This role is a role within the Deposit pricing analytics team in SCMAC. The primary focus of the role is: * To develop AI solutions that are fit for purpose by leveraging advanced data & analytical tools and technology with in WRB. The individual will be responsible for end-to-end analytics solution development, deployment, performance assessment and to produce high-quality data science conclusions, backed up by results for WRB business. * Takes end-to-end responsibility for translating business question into data science requirements and actions. Ensures model governance, including documentation, validation, maintenance, etc. * Responsible for performing the AI solution development and delivery for enabling high impact marketing use cases across products, segments in WRB markets. * Responsible for alignment with country product, segment and Group product and segment teams on key business use cases to address with AI solutions, in accordance with the model governance framework. * Responsible for development of pricing and optimization solutions for markets * Responsible for conceptualizing and building high impact use cases for deposits portfolio * Responsible for implementation and tracking of use case in markets and leading discussions with governance team on model approvals Key Responsibilities Business * Analyse and agree on the solution Design for Analytics projects * On the agreed methodology develop and deliver analytical solutions and models * Partner creating implementation plan with Project owner including models benefit * Support on the deployment of the initiatives including scoring or implementation though any system * Consolidate or Track Model performance for periodic model performance assessment * Create the technical and review documents for approval * Client Lifecycle Management ( Acquire, Activation, Cross Sell/Up Sell, Retention & Win-back) * Enable scientific "test and learn" for direct to client campaigns * Pricing analytics and optimization * Digital analytics including social media data analytics for any new methodologies * Channel optimization * Client wallet utilization prediction both off-us and on-us * Client and product profitability prediction Processes * Continuously improve the operational efficiency and effectiveness of processes * Ensure effective management of operational risks within the function and compliance with applicable internal policies, and external laws and regulations Key stakeholders * Group/Region Analytics teams * Group / Region/Country Product & Segment Teams * Group / Region / Country Channels/distribution * Group / Region / Country Risk Analytics Teams * Group / Regional / Country Business Teams * Support functions including Finance, Technology, Analytics Operation Skills and Experience * Data Science * Anti Money Laundering Policies & procedures * Modelling: Data, Process, Events, Objects * Banking Product * 2-4 years of experience (Overrall) About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: * Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do * Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well * Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. * Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. * Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. * Flexible working options based around home and office locations, with flexible working patterns. * Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits * A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. * Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Apply now Information at a Glance * * * * *

What's the role? At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. Responsibilities: Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling. Function as a predictive modeling or application team lead on Core Map projects. Who are you? MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 8+ years related professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) What You'll Get: Challenging problems to solve Opportunities to learn cool new things Work that makes a difference in the world Freedom to decide how to perform your work Variety in the types of projects Feedback so you will know how well you are doing Collaborative, Supportive Colleagues Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us. Watch Video

Who We Are and What We Do At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Corteva Agriscience has an exciting opportunity for a Metabolic Modeling Data Scientist to develop and deploy predictive genome-scale metabolic models that accelerate microbial strain optimization and bioprocess development. This role will apply their expertise to innovate nature-inspired solutions to global challenges in agriculture. They will join a strong molecular data science team and work closely with cross-functional teams from early discovery to downstream process engineering to generate actionable hypotheses, quantify flux bottlenecks, and translate multiomics and process data into decisions for Crop Health R&D. What You'll Do: Develop and maintain genome‑scale metabolic models for model and non‑model organisms; implement flux balance analysis (FBA/dFBA) and related approaches. Integrate multi‑omics datasets (genomics, transcriptomics, proteomics, metabolomics) into metabolic models to generate testable hypotheses. Apply AI/ML tools (e.g., ML‑assisted flux prediction, pathway inference etc.), perform metabolic flux analysis and estimate theoretical yields to inform media, feeding strategies, and optimization of titer/rate/yield. Reconstruct and validate metabolic pathways, including completing missing steps and proposing/assessing novel routes to increased metabolite productivity. Collaborate closely with strain engineering, biochemistry, and process engineering to ensure models are experimentally grounded and actionable. Communicate results via clear summaries and decision‑ready recommendations for program reviews and R&D planning. What Skills You Need: PhD in Systems Biology, Computational Biology, Bioinformatics, Chemical/Biochemical Engineering, Microbiology, or related fields. Demonstrated experience building genome scale metabolic models, performing flux analysis, and integrating multi‑omics (such as genomics, transcriptomics, metabolomics) with experimental data for model refinement. Strong programming skills in Python (and R) for model development and data integration Preferred Skills: Experience with industrially relevant non‑model microbes and fermentation datasets. Strong familiarity and proficiency working with latest models and techniques in this space, including tools such as COBRA Toolbox, CobraPy, KBase, or similar frameworks. Experience applying ML/AI to predictive metabolic modeling, pathway prediction, and/or flux estimation. Familiarity with version control (Git), workflow/pipeline tools, and reproducible model development practices. Ability to develop, improve and apply metabolic modeling techniques on non‑model organisms; Experience collaborating in cross‑disciplinary teams and ability to translate metabolic modeling insights into well-designed strain engineering experiments for validation in partnership with wet‑lab teams. #LI-BB1 Benefits - How We'll Support You: Numerous development opportunities offered to build your skills Be part of a company with a higher purpose and contribute to making the world a better place Health benefits for you and your family on your first day of employment Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays Excellent parental leave which includes a minimum of 16 weeks for mother and father Future planning with our competitive retirement savings plan and tuition reimbursement program Learn more about our total rewards package here - Corteva Benefits Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

We are currently seeking an experienced data scientist to join our AI team who will support and lead data flow, advanced analytical needs and AI tools across Medpace. The AI team utilizes analytical principles and techniques to identify, collate and analyze many data sources and works with teams across Medpace to support efficiency and business gains for pharmaceutical development. The AI Data Scientist will support various projects across the company to bring data sources together in a consistent manner, work with the business to identify the value of AI, identify appropriate solutions and work with IT to ensure they are developed and built into the relevant systems. The team is seeking an experienced candidate to contribute new skills to our team, support team growth and foster AI development. The AI Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports many teams across the business including clinical operations, medical, labs, business development and business operations. The AI Team also works side-by-side with data engineering, business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, or computer science, please review the following career opportunity. Responsibilities * Explore and work with different data sources to collate into knowledge; * Work with different business teams across the company with a variety of different business needs to identify potential areas that AI can support; * Manage the process of working through AI potentials from discovery research to PoC to production with the business teams and supporting tasks for IT developers; * Try out different AI tools to substantiate the potential of its use with the business team; * Translate results into compelling visualizations which illustrate the overall benefits of the use of AI and identify with the business team the overall value of its use; * Develop and map database architecture of methodological and clinical data systems; * Convert business tasks into meaningful developer Jira tasks for sprints; * Support departmental process improvement initiatives that can include AI; and * Participate in training and development of more junior team members. Qualifications * Master's degree or higher in informatics, computer science/engineering, health information, statistics, or related field required; * 2 or more years of experience as a Data Scientist or closely related; * Experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques from other industries); * Advanced computer programming skills (preferred language: Python); * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

The Data Scientist will be responsible to create product reliability models and advanced analytics that drive strategic decisions about product improvements. This role will collaborate closely with cross-functional teams, including Engineering, Product Management, Quality, Services, and IT, to develop and deploy data-driven solutions that address complex customer challenges. You should understand the impacts of environmental and other field conditions as they relate to product reliability. In this role, you should be able to apply mathematical and statistical methods to predict future field performance by building product reliability models using software tools. PRINCIPAL DUTIES & RESPONSIBILITIES: * Analyze product reliability requirements * Create predictive models for field performance and product reliability * Assist in design of experiments and analysis to understand impacts of different design decisions and test results * Correlate predictive models with test results and field data REQUIREMENTS: * Bachelor's Degree in Math, Statistics, Data Science, Computer Science, Reliability Engineering, or equivalent experience * 1-5 years of experience * Basic knowledge in power/electrical engineering; AC and DC power * Basic knowledge in large- and small-scale cooling systems * LabVIEW, Python, or other coding and modeling language * Minitab or other statistical software tools * Power BI or other data visualization tools * Travel 15%

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

Why 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. *************************************************

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organizational & Position Overview: The Bioproduct Research & Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences: Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Come join us in reshaping the future! The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes, and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization. This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch. Job Responsibilities: Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks. Utilize advanced analytics to identify opportunities and support our bankers' as they build lasting relationships to help clients navigate their financial needs over time. Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed. Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources. Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required. Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic. Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions. Required qualifications, capabilities and skills: Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services. 3+ years of experience with optimization and machine learning models design and implementation - can be in a marketing, operational, or digital setting. Expertise implementing next-gen models using machine learning. Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. Problem-solving skills are essential. Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity. Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards.

Dandy is transforming the massive and antiquated dental industry-an industry worth over $200B. Backed by some of the world's leading venture capital firms, we're on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world-empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. Revolutionizing the dental industry is hard…and we need help. We're on the hunt for experienced senior data scientists who can tackle some of our most significant challenges within our manufacturing operations and supply chain. Our Operations team plays a pivotal role in Dandy's dental operations, overseeing critical areas like production management, workforce analytics and supply chain optimization. In this dynamic, cross-functional role, you'll have the freedom to independently harness data to drive recommendations that propel Dandy to become the top dental lab in the industry. Your responsibilities/opportunities Build production management and prescriptive analytics systems to help the manufacturing team execute and scale Develop and share insights that drive impact within the Manufacturing, Supply Chain, and Operations teams Define the data language (i.e. KPIs, dashboards, measurement, etc) to ensure your team grasps the underlying truth that drives progress and success Facilitate rapid decision making through ad hoc work or by democratizing data/self service (effective BI or user-friendly explores in Looker in partnership with our data engineers) Utilize your data super powers to reduce ambiguity and solve problems Mentor other analysts and help them grow About you: 6+ years of experience working in data analytics or data science, ideally in a B2B operations setting BA/BS in a quantitative field such as statistics, computer science, operations research or a BA/BS in behavioral science (economics, psychology, etc) with statistics skills Excellent SQL skills Strong scripting Python skills Previous experience using data to drive impact in manufacturing or operations environments Familiarity with operations research and supply chain management concepts Strong communication skills and experience communicating results in a way that drives change. You have the ability to use data to inform, align, and lead Strong senses of autonomy and ownership Strong critical thinking, problem solving, and statistical skills Bonus points: Have experience turning vague operational problems and turning them into statistically rigorous analyses & solutions (i.e causal inference, predictive modeling) Interest in working and learning in an earlier stage company where we're still working out some of the basics Bias for action and desire to work in a fast-paced, collaborative environment Strong customer empathy, particularly for dentists Experience with Hex/Jupyter, DBT or Data Orchestration (we use Dagster) Req ID: J-706 For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off-ensuring our team members are supported no matter where they live and work. Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

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

Consumers Energy is Michigan's largest energy provider, providing natural gas and/or electricity to 6.8 million of the state's 10 million residents in all 68 Lower Peninsula counties. Consumers Energy knows job number one is to keep the lights on for customers. We are committed to delivering reliable, clean, and affordable energy to our customers 24/7. This position is not eligible for immigration sponsorship, e.g., H-1B, TN, etc. Please do not apply if you will need immigration sponsorship for a work visa now or in the future, including sponsorship for H-1B, TN, etc., now or in the future. We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is not eligible for participation in the H-1B lottery program and is not eligible for current or future immigration sponsorship for a work visa. Location: This is a hybrid (virtual/onsite) position with required onsite days on Monday, Tuesday and Thursday assigned to One Energy Plaza located in Jackson, MI. The selected candidate must be within a commutable distance or willing to relocate (relocation package is available for those that qualify). General Summary of Job Responsibilities The Platform Data Engineer plays a crucial role in designing, implementing, and maintaining our data platform using Databricks and other technologies within Microsoft Azure cloud. The incumbant will be responsible for data pipeline design and implementation, data storage solutions, data quality, performance optimization, and automation. Provides implementation, management of 2nd and 3rd Level technical support services to staff and customers on hardware and software platforms. Troubleshoots difficult infrastructure and application platform problems which can involve other groups such as server, network, and information security. Utilize automation to remove wasted effort and improve overall experience. The Platform Engineer responds and follows-up on internal and external customer support problems. Essential Duties and Responsibilities Design, implement, and optimize scalable data pipelines that integrate structured and unstructured data from diverse sources -including API's, databases, and third-party platforms Collaborate with development teams to support cloud-native applications Able to do moderately complex troubleshooting and incident resolution Ensure security and compliance best practices are followed in infrastructure and platform design and configuration Document system configurations and operational Support infrastructure and/or application platform operations, performance monitoring and alerting Assist in deploying and managing application or infrastructure components in an on premise or cloud environment Automate infrastructure provisioning and/or application deployment processes Learn and implement best practices for security and compliance Knowledge/Skills/Abilities Experience developing and maintaining Azure Data Factory Pipelines and Data Flows Experience in Microsoft Azure and Databricks Knowledge of data catalog tools (e.g., Microsoft Purview) Proficiency in data processing languages, including SQL, Powershell, and PySpark Technical Expertise Platform Maintenance Technical Troubleshooting Problem Solving Root Cause Analysis Education & Experience Bachelor's Degree in in a technical field and 2 - 4 years of experience in Supporting hardware or software platforms. [OR] Associate's Degree in in a technical field and 4 - 6 years of experience in Supporting hardware or software platforms. [OR] High School Diploma and 6 - 8 years of experience in Supporting hardware or software platforms. Working conditions Indoor & Outdoor Why should you join our team? At Consumers Energy, we offer more than just a place to work. We foster a culture that supports career development, growth, and stability, and we take pride in offering our co-workers excellent benefits and compensation packages. We are deliberately creating an inclusive culture that makes our diverse team of co-workers feel valued, supported, and empowered every day. We're a company made up of thousands of people, all with different stories to share and work to do, but we stand united in our company purpose: world class performance delivering hometown service. What we offer: Competitive compensation packages Medical, Dental and Vision 401k with company match Paid parental leave Up to 13 paid Holidays Paid time off Educational Assistance Program Diversity, Equity & Inclusion: We, at CMS Energy, value Diversity, Equity, & Inclusion. It is part of our DNA. We treat our employees with respect, we treat each other fairly and we value the opinions of others. We are passionate about building and nurturing an environment where everyone feels included. We don't discriminate. We seek to learn about each other and better understand our unique differences. Our uniqueness makes us authentic. We create safe spaces where everyone can be who they truly are. We invite difficult conversations and uncomfortable topics. We value diverse perspectives; this is what makes us great together. We harbor an inclusive environment where employees feel empowered to share their backgrounds, experiences, and ideas. Our Employee Resource Groups, Women in Energy (WE), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY, cap ABLE, Interfaith and Veterans Advisory Panel (VAP) are key enablers to living the values of our company culture: Caring, Empowered, Deliberate, Agility, and Ownership. All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity or national origin.

Welcome to Gordon Food Service! We are excited that you are thinking about opportunities with us, and we have an amazing story to share. See below for a quick glance of who we are and the impact you could have on the food service industry. There's a seat at our table for you... Position Summary Using their inquisitiveness, tenacity, and willingness to learn, this Data Engineer Associate will help develop the GFS Data Platform consisting of the data lake, analytics, enterprise data warehouse, and visualization tools. They will follow the teams technical direction by writing high quality code and following modern design principles and stay on top of industry trends in the Data & Analytics industry and introduce them into the GFS environment. They will builds data solutions in an agile and incremental manner and is an active participant in all team ceremonies. They will have the ability to understand complex architecture and engineering designs and the skill to help implement them. They will also have strong personal skills to develop relationships with peers on their team. What you will do: Follow the technical strategy and direction for the Data Platform environment at GFS, including tools, techniques, and processes. Help build technology solutions as assigned by the team Collaborate with others on the team to learn and implement technical architectures to deliver insightful solutions. Understand the business analytics problems the company faces and help build solutions that solve them Work on a high-performing team focused on results and relationships Performs other duties as assigned. When you will work: Monday through Friday, 8:00am - 5:00pm. Hybrid Work Schedule: 4 days in office in Wyoming, MI or Atlanta GA with 1 day remote What you will bring to the table: Bachelor's Degree in Computer Science, Information Technology, Advanced Analytics, Statistics or related field required At least 1-3 years of experience in technical design, development, and delivery of data engineering technical solutions preferred Academic or professional experience writing complex software programs (mobile, web, backend, etc…) Interest in modern data movement technologies (e.g. serverless, real-time, as needed computing, low latency data movement, high volume data management, etc...) Academic or professional experience using data to make design decisions Familiarity with devops processes to deliver code quickly with a high degree of confidence and quality Preferred languages include but not limited to Python and Java Experience with one or many cloud computing providers (e.g. GCP, AWS, Azure) preferred Knowledge of Terraform preferred BE PART OF AN AMAZING CULTURE WHERE WHAT MATTERS TO YOU, MATTERS TO US! Gordon Food Service values our customers and understands that their success is largely dependent upon their workforce. To demonstrate our commitment to our partnership, we will require any candidate who works for a Gordon Food Service customer to provide a letter of support from their management if they are selected for the interview process. Equal Employment Opportunity is a matter of policy at Gordon Food Service, Inc. and we are committed to a work environment in which all individuals are treated with respect and dignity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or status as a qualified individual with disability. If you require reasonable accommodation for any part of the application or hiring process due to a disability, please submit your request to ************** and use the words “Accommodation Request” in your subject line. All Gordon Food Service locations are tobacco-free. Gordon Food Service is a drug-free workplace and conducts pre-employment drug tests.

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies to help them build innovative businesses that keep them one step closer to their customers and one step ahead of the competition. We offer a meaningful work environment for employees, attractive and interesting engagements for consultants, and cutting-edge digital innovation for our customers. We delight in helping our customers execute their digital vision. Big projects or small, Halo Group knows that by combining the highest quality talent with our unwavering support, we will become an invaluable extension of the team. Halo Group's experienced consultants in Detroit, Atlanta and Dallas specialize in all areas of product/project governance, UX/UI, multi-platform applications, quality assurance/testing, cloud computing, and data analytics. Since its inception, Halo Group has been recognized for numerous awards, including: - INC 5000 - Future 50 - 101 Best and Brightest - Michigan 50 Companies to Watch - Goldline Research - “Most Dependable Companies” - Ernst & Young - “Entrepreneur of the Year” Finalist Job Description Mandatory 1. Need to have experience with business Rules, Stored Procedures and Optimizations 2. Strong Experience with SQL Server 2012, 2014 and good knowledge on in-memory functions. 3. Hands-on SQL Server development experience including DW schema design, implementation and optimization 4. Strong experience with SQL Data modeling and designing the data marts for different source of data. 5. Advanced Data Modeling Skills with SQL database including good skills in designing complex queries, stored procedures 6. Ability to move between high level architectural review/design and the "roll up the sleeves" level of actually doing all phases of a solution delivery project 7. Strong working experience with SSIS, SSRS and/or SSAS 8. Experience with any of the following is a plus: Cloud IaaS/PaaS, Azure, Cloud Integration etc. 9. Responsible for performance tuning of database functions, SQL queries, and stored procedures to ensure scalability demands are satisfied. 10. A deep understanding of, and experience using and explaining all aspects of, relational database design, multidimensional database design, OLTP, OLAP, KPIs, Scorecards, and Dashboards 11. Experience leading technical discussions on data warehouse appliance technology (hardware, software, database, storage). 12. Gather and document functional and technical requirements, and translate requirements into reporting solutions, analytic tools and dashboards 13. Develop solutions patterns, data flow diagrams, data models and architectural specifications 14. Integration experience with ETL (Working Experience with SAP BODS is a plus) 15. Understanding of Big Data, Hadoop eco systems is a plus 16. Knowledge and work experience developing solutions using Programming language like Java, C++, Python is a plus 17. Experience in integration with Analytical Tool such as Tableau / Business Objects is a plus 18. Knowledge of the Data and Analytics and Agile Implementation Lifecycle 19. Client-centric mentality: reliable, professional, exceeds expectations 20. Able to handle projects independently and manage client expectations and deliverables in a timely manner 21. Ability to lead a team of 3 - 5 consultants and mentor junior consultants 22. Excellent organizational skills to work in a fast-paced environment and manage and prioritize multiple tasks simultaneously 23. Demonstrated skill at presenting complex development topics to technical and business users Qualifications Strong working experience with SSIS, SSRS and/or SSAS Experience with any of the following is a plus: Cloud IaaS/PaaS, Azure, Cloud Integration etc. Additional Information All your information will be kept confidential according to EEO guidelines.

The LGES - HONDA Joint Venture, located in Jeffersonville, Ohio, is bringing the power! A transformation is happening within the auto industry, and we are leading the way. We develop and manufacture large lithium-ion polymer batteries and packs of the highest quality for electric vehicle (EV) and energy storage applications. Established in 2023, The LGES - HONDA Joint Venture is passionate about developing and maintaining a culture where our associates and customers understand their value and worth. We are making a positive impact and we want you to be a part of it! ***************** Summary: The Equipment Data Analysis Engineer 1 will play a critical role in supporting manufacturing operations by managing, analyzing, and utilizing equipment-related data to improve production efficiency, reduce downtime, and support decision-making processes in a high-tech EV battery manufacturing environment and support the manufacturing and production plan, ensure the safety of the workplace, optimize equipment & maximize manufacturing Overall Equipment Effectiveness (OEE), and support line capacities through cycle time and downtime reduction activities Responsibilities: Collecting and organizing equipment and facility operation data, including equipment parameters such as gap, temperature, pressure, and cycle time, for ongoing performance monitoring. Investigating the correlation between machine conditions and production outcomes, identifying patterns that affect yield, equipment reliability, and process stability. Supporting daily production by reviewing issue logs, downtime history, and quality-related alerts, and assisting in identifying root causes based on data trends. Working with equipment engineers and technicians to adjust machine parameters or improve standard operating procedures using data-based insights. Contributing to improvement initiatives by managing structured records of operational changes, parameter adjustments, and failure events for continuous analysis. Participating in cross-functional meetings to share findings and support preventative maintenance and performance improvement strategies. Helping visualize and report key metrics related to equipment health, performance, and throughput for regular engineering reviews. Utilize data analysis and Plan-Do-Check-Act (PDCA) to lead, support, develop and justify solutions with related groups/departments to solve complex equipment related problems Monitor and manage equipment to ensure optimal manufacturing performance and function, while minimizing operating expenses and ensuring safety Review, analyze, and present reports to identify and communicate machine micro stops, breakdowns and yield impacts, and lead the development of countermeasures, striving for continuous improvement Develop and ensure completion of production work orders for equipment related items by creating or updating PLC Ladder Logic, improving mechanical design, updating vision systems, updating line layouts, etc Develop capability of self and team through training, mentoring, and sharing of experiences Establish priorities and make decisions based on data analytics to effectively accomplish business objectives Test, evaluate, and implement new and innovative technologies to improve overall equipment and process efficiency Communicate with local and international vendors and purchasing department to facilitate equipment repairs and replacement Ensure compliance with health, safety, and environmental regulations Maintain cleanliness at worksite in accordance with 5S3R Standards: Sort, Set in order, Shine, Standardize, Sustain Right Location, Right Quantity, Right Container Perform other duties as assigned Education/Experience: Bachelor of Science in Engineering or Engineering Technology or equivalent related experience 0 to 3+ years of experience in manufacturing related job or equivalent relevant experience Manufacturing co-op experience preferred but not required Knowledge/Skills: Battery production related knowledge preferred but not required Proficient in Microsoft Office suite CAD Software (AutoCad, Solidworks, Catia, etc.) experience preferred but not required Positive attitude, open minded, and team player Strong self-motivation and desire to work in a manufacturing environment Strong communication and interpersonal skills Ability to multitask and solve complex problems Strong technical analysis and troubleshooting skills Ability to manage projects and schedules Korean language proficiency a plus Additional requirements: Comply with company Personal Protective Equipment (PPE) requirements Able to work in both office and manufacturing environments Hands-on support of equipment Prompt and regular attendance within our onsite operations Flexibility to work adjusted shifts as necessary This role requires up to 10% of travel (domestic and/or international) Are you ready to join us in our journey toward a better world? Start your future with us, where we are building tomorrow, together. Welcome to The LGES - HONDA Joint Venture! What differentiates The LGES - HONDA Joint Venture and makes us an employer of choice? Total Rewards: • Competitive base salary • Paid time off, including vacation & paid holidays • Ability to earn compensatory time off • Industry leading benefit plans (Medical, Dental, Vision, Rx) • Shift premium (when assigned) • 401K plan with company match • Relocation assistance (if eligible) Career Growth: • Advancement opportunities • Education reimbursement for continued learning • Training and development programs Additional Offerings: • On-Site cafeteria • On-Site recreational area • On-Site wellness area • Clean, climate-controlled environment LGES-Honda Joint Venture, L-H Battery Company, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.