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.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. Southfield, MI16 days ago Education: Masters – Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical Engineering, Electrical and Computer 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, as a Data Analyst Assistant, Data Engineer (ETL Developer), as a Graduate Research Assistant, or in a related occupation; Other Requirements: Experience must include one (1) years use of all the following: Python, GCP, Hadoop, Azure, Tableau, Alteryx, AWS, C++, Git, Embedded C, SQL, and Docker. Employer: Epitec, Inc. | Position: | Data Engineer (Job Code: 1391).Auburn Hills, Michigan30+ days ago Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field - OR equivalent practical experience (bootcamp, internships, certifications, or hands-on projects). Assist senior team members in building and maintaining tables, schemas, and data models inside Microsoft Fabric to support Power BI dashboards. li>Effectively lead, manage, coach, assign work, and set goals, objectives, and expectations for the data team, providing opportunities for personal and professional growth through regular performance reviews, guidance, and encouraging training while presenting new techniques, and recruiting/hiring staff as needed. General Responsibilities: - Provide organizational leadership by demonstrating Alumni Association core values: All In, Serving Heart, and Solution Seeker, and helping other staff members demonstrate those values.
Pontiac, Michigan3 days ago p style="margin:0px">As a Product Owner at United Wholesale Mortgage, you will partner closely with IT teams, business leaders, and end users to ensure our products deliver maximum value to both internal and external clients. Collaborates and negotiates trade-offs and priorities with Product Manager and stakeholders to create and manage the Epic backlog and ensure alignment with business objectives. p>To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy. The ideal candidate is responsible for transforming vehicle testing data into actionable insights by building scalable data pipelines and high-quality visualizations. 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. p>MLOps & Pipelines: Ensure the team builds robust, automated pipelines for data ingestion, model training, deployment, monitoring, and retraining in production environments. In this hands-on leadership role, you will bridge the gap between technical execution and strategic goals, driving the development of advanced algorithms for predictive demand forecasting, dynamic segmentation, and yield optimization. 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. 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. Your work will create the single source of truth that powers end-to-end traceability, enables engineers to quickly understand impact and coverage, and gives leaders a real-time view of functional readiness and stability across programs. TFRP connects functional intent, requirements, software, hardware, tests, and results into a single, traceable story so engineering teams can see exactly what changed, what was validated, and how stable a function is at any point in its lifecycle. p>Employees in this job function are responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. They work at the intersection of distributed systems, data engineering, and API development — delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers. You will drive operational excellence & provide a robust statistical analysis on portfolio management for timely decision making ensuring zero obsolescence during PIPO process execution and supply chain readiness NPI projects in region with ensuring adherence to master data management, BOM management process. As the Product Life Cycle & Master Data Management Leader you will be responsible and accountable for product portfolio management, will oversee NPI, PIPO process with reference to supply chain interventions and manage material master. Ann Arbor, MI30+ days ago IHPI advances the work of its 800+ faculty members by creating a welcoming and supportive research community, including networking and engagement opportunities, education and professional development programs, access to data and analysis, grant development services, and robust communications and policy engagement support. IHPI's Data & Methods Hub was created to provide several unique support services, including access to data sets, methodological support, and assistance with data use agreements, to help build a vigorous and supportive research community. |
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