td>| Duties: | Responsible for the exploration, aggregation, transformation, and cleansing of vehicle data across a variety of disparate sources and platforms, ensuring data integrity and consistency at scale; design, implement, and continuously optimize advanced predictive machine learning models to drive accurate and actionable business forecasts, leveraging complex datasets; architect, develop, and maintain high-performance APIs in Python, ensuring seamless integration with diverse data ecosystems while adhering to best practices for scalability and security; support efforts to streamline and automate the data pipeline, encompassing data acquisition, feature engineering, model development, and deployment workflows, optimizing for performance, efficiency, and scalability; coordinate and execute complex ad-hoc data analysis tasks, providing rapid, data-driven insights for immediate business needs; provide mission-critical on-call support to ensure the continued operation of business production systems, troubleshooting and resolving issues with minimal impact to operations; utilize and apply knowledge of Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC to complete assignments; translate complex analytical findings into clear, actionable insights; utilize cutting-edge Natural Language Processing (NLP) techniques to extract valuable insights from large volumes of unstructured text data, integrating AI-driven solutions to deliver sophisticated data analysis that directly impacts automotive operations and strategic initiatives; apply advanced statistical methodologies including Regression Analysis, Bayesian Inference, and machine learning-based forecasting techniques, to model and predict complex variables like market incentives, inventory management, sales forecasting, and operational performance; provide data-driven insights to optimize production strategies and facilitate high-level decision-making; leverage Cloud Computing platforms (primarily GCP) to architect and scale infrastructure for processing, storing, and analyzing massive automotive datasets; deploy data science solutions that integrate seamlessly with manufacturing and operational environments to drive efficiency, accuracy, and business intelligence; and present models and results to stakeholders, including business executives, to influence strategic decision-making. Education: Master’s – Data Science, Computer Science, Computer Engineering, Systems Engineering, or in a related field of study (will accept equivalent foreign degree); Training: None; Experience: One (1) year in the position above, as a Data Analyst, Data Engineer, as a Data Engineering Specialist, or in a related occupation; Other Requirements: Experience must include one (1) year use of all the following: Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC.Ann Arbor, MI30+ days ago Working closely with subject matter experts and a multi-disciplinary Product Development team, you will design and implement AI models and image analysis algorithms that power products delivering reliable, quantitative measurements from images of biological systems. D. degree in Data Science, Computer Science, Computer Engineering, Biomedical Engineering, Applied Mathematics, or related field and 2+ years of experience developing image processing / computer vision algorithms and machine learning solutions. As a growing global life science company, with our stock listed on the German DAX and TecDAX , Sartorius offers a wide range of benefits: Personal and Professional Development: Mentoring, leadership programs, internal seminar offerings. Based at our Ann Arbor, MI site, the Intern Research Scientist will play a vital role in supporting the development and integration of cutting-edge optical technologies in healthcare solutions. Charter Township of Commerce, Michigan30+ days ago Bachelor's Degree from an approved college or university and/or graduate of an accredited school of medical technology, or equivalent such as military training as defined by 42 CFR 493.1489, or have qualified at the Medical Technologist level by achieving a satisfactory grade on a HHS examination prior to 2/28/92 42 CFR 493.1491. This hospital features the Harris Birthing Center with all private birthing suites, the Charach Cancer Treatment Center (affiliated with the Barbara Ann Karmanos Cancer Center), cardiac services, and comprehensive inpatient and outpatient diagnostic care. Southgate, Washington13 days ago and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. SUMMARY AF Group is seeking a Principal Data Scientist with expertise in either Commercial Property or Personal Homeowners insurance to serve as an individual contributor and technical authority on applying advanced analytics and machine learning to complex business problems, including pricing, risk selection, and other underwriting challenges. The Principal Data Scientist ensures long-term model performance through rigorous validation, drift monitoring, and audit-ready documentation, while advancing analytical best practices and evaluating emerging techniques relevant to commercial P&C insurance. Demonstrated experience owning end-to-end model lifecycle, including validation, monitoring, and performance optimization Experience mentoring junior data scientists or leading analytical workflows preferred Aptitude and willingness to learn new things and teach others Strong written and oral communication skills. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) Proficiency in SQL or other data querying language An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc. p>•6 plus years work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered •Knowledge of big data technologies (e.g., Hadoop, Spark) •Familiar with relational database concepts, and SDLC concepts •Demonstrate critical thinking and the ability to bring order to unstructured problems •Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. You will work at the intersection of LLMs, systems engineering, and applied ML, building intelligent agents that reason, plan, interact with tools, and operate reliably in real-world environments-particularly across regulated domains such as healthcare. p>GENERAL SUMMARY: Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist architects, defines, and design the data science solution, and works with Data Scientist, Associate Data Scientist, and other business analysts to implement the data science solution. Auburn Hills, MI30+ days ago This role is ideal for someone who can operate at both the strategic and technical levels: designing decision frameworks, influencing cross-functional partners, and building models that materially improve cost, service, and resilience. Deep experience with predictive modeling (statistical, ML, deep learning), optimization techniques (LP, MIP, constraint programming), and simulation methods (Monte Carlo, discrete event). Success in this role requires strong technical depth, business fluency across loyalty and ecommerce, and the ability to translate analysis into clear, credible narratives that influence decision making and build alignment across teams. - Owns and sets direction for complex analytical problems end to end, independently defining approach, success criteria, and decision framing while proactively engaging peers and leadership as needed.
Auburn Hills, MI30+ days ago Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets. Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes. ul>Bachelor's Degree from accredited college including courses in biological science, chemistry and mathematics WITH appropriate internship AND completed Associate's Degree or completed Undergraduate Certificate in Medical Laboratory Technology from a regionally accredited college/university with ASCP, AMT or equivalent MLS eligibility. Education & Certification Qualifications: - Be enrolled in a NAACLS accredited Medical Technology, Medical Laboratory Science or Clinical Lab Science equivalent program for a bachelor's degree from a regionally accredited college/university and graduate within 60 days of hire.
Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. PRIMARY PURPOSE OF THE ROLE: To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions. p>This enables us to offer a comprehensive range of services including Drug Discovery Solutions, Process & Pharmaceutical Development services, Clinical Trial Supplies, Commercial supply of APIs and Finished dosage forms. Piramal Pharma Solutions' HPAPI Research and Manufacturing facility, located in Riverview, Michigan, is seeking a qualified Process Development Scientist to join our Process Development team. Our Employee Resource Groups, Women in Energy (WE), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY, capABLE, Interfaith and Veterans Advisory Panel (VAP) are key enablers to living the values of our company culture: Caring, Empowered, Deliberate, Agility, and Ownership. Guided by our Digital First strategy, we harness modern technical practices and agile methodologies to ensure data and insights are accessible, reliable, and actionable, enabling evidence-based decision-making, operational efficiency, and innovation across the organization. In this position, you will leverage large-scale datasets-including telematics, warranty claims, manufacturing logs, and sensor data-to predict product life cycles, identify failure modes, and drive proactive engineering improvements. Education: Master's Degree in Data Science, Statistics, Reliability Engineering, Systems Engineering, or a related quantitative field (or a Bachelor's Degree in a related field with 5+ years of equivalent professional experience). The engineer will work cross-functionally with manufacturing, process engineering, quality, supply chain, and engineering teams to translate electrochemical insights into robust production-ready products and technologies. Apply data engineering and analysis approaches to organize, connect, and fully utilize databases including experiment parameters, test results, processing metrics, quality data, teardown data, and supplier information. |