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.Auburn Hills, MI30+ days ago Priorities can change in a fast-paced environment like ours, so this role includes but is not limited to the following responsibilities: • Technical Leadership & Strategy • Advanced Analytics & Modeling • Data & Platform Architecture • Experimentation & Product Impact • Knowledge Sharing & Influence. In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers as they embrace electrification, connectivity, autonomous driving, and shared ownership. 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). Southfield, MI30+ days ago This role will work across business functionssuch as Manufacturing, Supply Chain, Finance, Engineering, etc. to deliver scalable analytics, predictive models, and AI solutions that drive operational efficiency, quality, and business performance. JOB SUMMARY: Under moderate supervision, the Data Scientist applies advanced statistical, machine learning, and artificial intelligence techniques to solve complex business problems across the enterprise. Detroit, Michigan30+ days ago The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business. As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. Auburn Hills, MI30+ days ago p>You will partner with data engineering, AI engineering, and business stakeholders to translate problems into deployable solutions-delivering decision signals that are embedded into operational workflows, planning systems, and agentic experiences. As a Supply Chain Data Scientist, you'll develop predictive, prescriptive, optimization, anomaly detection, and simulation models that improve cost, service, and resilience across planning, logistics, and operations. p>In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: - A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen's pipeline.
Auburn Hills, MI30+ days ago ul>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. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function-modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact. Our PEPI CFO Services practice includes the following pillar of services: • Strategic Finance and Liquidity Management • Accounting Advisory and Financial Reporting Solutions • Working Capital Optimization • Digital Finance Transformation • Interim Management. p>This is a strong fit for someone who wants to be a hands-on senior individual contributor: someone who can independently own analytics for a product pillar, initially focusing on the highest-priority products within that pillar, influence roadmaps through data, and help build strong analytical habits within a growing team. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 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). p>As a Data Scientist, and member of our PPG Digital Organization, you'll be contributing to specific business projects utilizing machine learning, computer vision, advanced statistical analysis, optimization, and data visualization methods to drive product and service development that lie at the intersection of both digital and physical sciences. PPG Digital Organization is accelerating enterprise-wide transformation by embedding advanced AI, machine learning, and data products across multiple domains, including formulation development (R&D), manufacturing, supply chain, commercial, and customer experience. p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable insights that reduce cost of care and improve population health outcomes for our payer clients. Auburn Hills, MI30+ days ago The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability. Data s...
Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field. Interested candidates can send their updated resumes atjobs@global-itech.com. p>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. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business. As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. Data Scientist Sedgwick Claims Management Services, Inc.Data ScientistMI30+ days ago Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Partners with both business and IT leaders to influence how the organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Sterling Heights, MI16 days ago Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWSCloud Environments through data transformation within Power BI. Proficiency in areas such as probability and statistics, applied mathematics, Mathematical programming (linear, nonlinear, integer), Network analysis, Queuing theory, and Economic evaluation. OneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that clients actually use to make decisions. You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy solutions that span the full analytics lifecycle, from data integration and quality to predictive modeling and advanced analytics. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Bachelor''s Degree in Statistics, Management Information Systems & Accounting, Accounting & Technology, Business Administration/Management, Regulatory Compliance, Physics, Economics and Finance & Technology, Computer Science, Data Processing/Analytics/Science, or Mathematics preferred. Departmental Preferences: Intermediate ability to identify, evaluate, and integrate generative AI tools (e.g., AI coding assistants, chat-based models) into team workflows to enhance software development, analytics, documentation, and overall productivity, while maintaining code quality, security, and adherence to engineering best practices. Demonstrated experience establishing and enforcing team-level generative AI guidelines, including coaching staff on responsible use, ensuring all AI‑generated code and content is thoroughly reviewed, validated, and understood before adoption, and maintaining compliance with corporate GenAI and data governance policies. p>To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it.
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials. Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials. Sterling Heights, MI4 days ago You will work in a fast-paced, cross-functional engineering environment alongside data scientists, analysts, and engineering teams, collaborating on complex, large-scale data systems that support advanced engineering programs. The position supports enterprise data architecture and governance, particularly across cloud platforms and business intelligence tools, while working closely with cross-functional stakeholders in a fast-paced engineering environment. 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. |