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. 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. 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. 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). 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...
We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where, when and how we provide products and programs to our customers to meet their needs and to delight them. You will generate insights, design/deliver/measure experiments and strategies across marketing channels (SEM/SEO, Affiliates, Display, Social, Mobile, Email, Onsite, etc.), engagement products and customer segments. p>The GDIA Cost Efficiency Analytics team develops data products, analytic software and provides insights to a broad range of skill teams and delivers value to Ford using critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques. In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise's known goals, reveal hidden opportunities, and achieve data superiority. 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. li>Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS), ensuring efficient deployment and maintenance of AI solutions. 3+ years of experience in Machine Learning model development, including Natural Language Processing (NLP), utilizing deep learning frameworks (PyTorch, TensorFlow, Keras), and leveraging open-source model ecosystems like Hugging Face. Auburn Hills, MI30+ days ago p>As a Data Scientist / Machine Learning Engineer, you will be an integral part of our team, playing a pivotal role in leveraging data-driven insights to enhance our products and services and in developing and implementing cutting-edge ML and deep learning solutions across a variety of use cases. Your responsibilities will span a wide range of use cases, including computer vision for object detection and recognition, predictive maintenance, anomaly detection, to pioneering generative AI projects and design optimization. Auburn Hills, MI10 days ago p>This is a high-impact, senior IC role (Staff/Principal level influence) responsible for shaping technical strategy, designing scalable ML systems, and driving measurable business outcomes such as quality improvement, warranty reduction, and customer experience enhancement. A minimum of 8 years of experience in data science, advanced analytics, or machine learning, including a minimum of 5 years of hands-on experience with Databricks, Palantir, Snowflake, or AWS SageMaker. Birmingham, MI24 days ago Qualifications 3+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives Strong knowledge of Relational Databases and SQL programming Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, Markov Chain Monte-Carlo (MCMC) Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA) Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, Radio, Print, Search, Display, Email, Ecommerce, and Social Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research Strong communication skills- Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. Auburn Hills, MI30+ days ago Key Responsibilities: Data Engineering & Pipeline Development: Design, implement, and maintain robust data pipelines (ETL/ELT) to collect, process, and transform large-scale structured and unstructured datasets from diverse automotive sources. Advanced proficiency with business intelligence tools (e.g., Power BI, Tableau, Qlik) and experience integrating visualizations with cloud data platforms (e.g., Snowflake). p>Master's degree or foreign equivalent in Data Science, Mathematics, Applied Statistics, Computer Science, Mechanical Engineering, Operations Research or a related field and 3 years of experience in the job offered or a related occupation. Supervise a global cross-functional team composed of data scientists, data analysts, data engineers, product designers, program managers, and software engineers. Data Analyst would analyze large datasets from connected vehicles, specifically focusing on in-car entertainment, navigation, connectivity, and user experience, in an effort to identify software improvements that would contribute to enhancing user satisfaction, optimizing system performance, and driving engagement with digital services. What You Will Do: - Analyze user interaction data from in-car infotainment systems (e.g., touch screen usage, voice command effectiveness, media consumption, etc.) to identify trends and usability pain points.
Milford, Michigan30+ days ago div>As an Artificial Intelligence and Machine Learning Scientist, you’ll be part of a team that is pioneering the integration of simulation, automation, AI agents, large language models (LLMs), and machine learning into critical systems for vehicle design, calibration, and performance. li>Experience and understanding of AWS Cloud Services components like Redshift, S3, Kafka, Glue, AirFlow, SageMaker, EMR, Athena, Lake Formation, DynamoDB, Aurora, VPC, IAM and many other Cloud Service modules. Good communication and organization skills that clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message. Southfield, MI30+ days ago p>Role Overview: The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise-wide strategy for data, analytics, and AI and executing to deliver scalable, high-impact AI solutions across North American operations. Tuition Reimbursement Career Development and Ongoing Training Employee Assistance Program Employee Spotlight and Recognition Program Volunteer Opportunities Onsite Fitness Center (vary by location) Cafeteria and food markets (vary by location) Onsite Health Clinic and Pharmacy (vary by location). p>The Role: As an Artificial Intelligence and Machine Learning Scientist, you'll be part of a team that is pioneering the integration of simulation, automation, AI agents, large language models (LLMs), and machine learning into critical systems for vehicle design, calibration, and performance. Work collaboratively with a team of specialists ranging from data scientists, simulation experts and calibration technical specialists to cohesively build new capabilities into our existing Co-Simulation (Digital Twin) framework. Auburn Hills, MI30+ days ago The Data Engineer plays a critical role in enabling this vision by designing, building, and operating enterprise-grade data pipelines and analytical data products that power advanced analytics, optimization, automation, and agentic AI solutions across the Supply Chain organization. The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows. Auburn Hills, MI30+ days ago As a Business and Data Analyst you will be gathering requirements, developing a rich understanding of required data, facilitating the design of deliverables, partnering with technical and business stakeholders, testing, and implementing the solution, providing support to the users, and overall project coordination. Overview: Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use cases. Ann Arbor, Michigan30+ days ago This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.Job Description/Preferred Qualifications. Please ensure that you have searched KLA’s Careers websitefor legitimate job postings. p>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Los Angeles, CA, USA; Seattle, WA, USA; Washington D.C., DC, USA. Whether recruiting the next Googler, refining our core programs, developing talent, or simply looking for ways to inject some more fun into the lives of our Googlers, we bring a data-driven approach that is reinventing the human resources field. p>Data Engineering: - Lead Engineering Execution: Manage and mentor pods of data and software engineers to design, build, and deploy domain-driven data products on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow).
- Unstructured Data & RAG: Build pipelines to process and structure complex datasets (e.g., telematics, connected vehicle data, unstructured web leads) to feed into Large Language Models and Retrieval-Augmented Generation (RAG) frameworks.
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Job Description: Position Description: We are seeking a Data Product Manager to define, develop, and manage data products that enable business insights, operational efficiency, and data-driven decision-making. Ann Arbor, MI30+ days ago li>Translate SAP process knowledge into analytics-ready data models, including: Master data (e.g., Material, Customer, Vendor, Plant, GL/Cost Center/Profit Center) and Transactional data (e.g., Sales orders, deliveries, invoices, POs, goods movements, production orders). The Data Engineer designs, builds, and operates scalable data pipelines and curated data products with a strong focus on SAP data (e.g., S/4HANA or ECC, SAP CRM, and SAP SD/MM). You will work across teams to integrate product solutions with data access, data quality, security, governance, and analytics products, ensuring Ford's data assets are trustworthy, compliant, and AI-ready. Extensive experience with Google Cloud Platform (GCP) services for compute, storage, messaging, and data solutions (e.g., Cloud Run, Pub/Sub, Cloud Storage, and various data processing services). Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations. 2. Designing and implementing in Big Data Environments with expertise in Big Data tools including Python, SQL, DataForm, DataFusion, Alteryx, Qlik Sense, Qlik Replicate, Tekton, and Terraform. Ann Arbor, Michigan17 days ago Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Ann Arbor, Michigan25 days ago Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years. Ann Arbor, MI30+ days ago Enabling the movement towards advanced chip design, KLA''s Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Ann Arbor, MI30+ days ago Enabling the movement towards advanced chip design, KLA''s Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. p>The Office of the Chief Technology Officer (CTO) plays a critical role in developing advanced long-range technology in collaboration with product divisions and strategic marketing, working on future technology like light sources, lasers, and sensors. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Ann Arbor, MI30+ days ago Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. You won''t just be building models in a vacuum; you will work cross-functionally with Product Managers, Industrial Designers, and Plant Engineers to ensure your solutions are robust, scalable, and integrated into the physical workflow of our factories. Cross-Functional Collaboration: Partner with Product and Engineering teams to translate manufacturing pain points into technical requirements and deliver user-centric data products. p>Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Ann Arbor, MI30+ days ago SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client, and more—often with offers between $90,000 and $154,000 depending on role and expertise. GHD will reimburse 50% of the cost of the following to maximum of $250.00 reimbursement annually for such items as: Health club membership fees, Home exercise equipment purchases, Bicycles, Race, run & marathon entrance fees, Smoking cessation programs, Weight loss programs (i.e.-Weight Watchers, Jenny Craig), Fitbits and Fitness Tracking devices. Our Environmental team is looking for a Chemistry Data Validator/Analytical Coordinator to provide technical support in the area of environmental analytical chemistry to project teams working within a diverse range of oil & gas and mining clients on a broad portfolio of projects. |