Data engineer jobs in Oak Park, MI

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company's core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion. OneMagnify's commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India. You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration. The Lead Data Scientist is responsible for leading the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value. What you'll do: Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support Translate client goals into clear modeling strategies, project plans, and deliverables Guide the development of production-level model pipelines using tools such as Databricks and Azure ML Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications Monitor and improve model performance, ensuring high standards for reliability and business relevance Present complex analytical results to technical and non-technical audiences in a clear, actionable format Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture Promote best practices in model governance, data ethics, and responsible AI What you need: Minimum 5-7 years of experience in data science, analytics, or predictive modeling Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution Strong programming skills in Python, R, or SAS for modeling and data analysis Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS) Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus Expertise in regression, classification, clustering, A/B testing, and audience segmentation Proficiency with Tableau, Power BI, and Excel for data visualization and communication Strong communication skills and the ability to translate complex technical findings into business insight Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred) Benefits We offer a comprehensive benefits package including medical, dental, 401(k), paid holidays, vacations, and more. About us Whether it's awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges. We are an equal opportunity employer We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://tinyurl.com/nzn6msu *You can apply through Indeed using mobile devices with this link. Job Description The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses. Requirements M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role. Extensive experience solving analytics problems using quantitative approaches. A proven passion for generating insights from data. Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Fluency with at least one scripting language such as Python, Java, or C/C++. Familiarity with relational databases and SQL. Additional Information All your information will be kept confidential according to EEO guidelines.

Mopar is seeking a technically skilled and innovative Data Engineer / Data Scientist to drive advanced analytics and data solutions. This role is central to designing, building, and optimizing data pipelines, developing predictive models, and delivering actionable insights that empower HQ stakeholders. The ideal candidate will blend strong engineering skills with analytical expertise to support data-driven decision-making and operational excellence across the region. 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. Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools. Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs. Collaborate with IT and analytics teams to integrate data from business systems into centralized data products. Advanced Analytics & Data Science: Analyze complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and operational improvements. Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation. Conduct A/B testing, causal inference, and statistical analysis to evaluate business initiatives and drive continuous improvement. Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions. Collaboration & Stakeholder Engagement: Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions. Educate and mentor team members on data best practices, analytics tools, and emerging technologies.

Lear For You We work hard for the people who work for us. We champion our teams. We foster collaboration, inclusion, respect and excellence. What we are trying to say is we want to be more for you. We are your path to a better career, a better future, and a better you. Our teams have invented groundbreaking technologies, flawlessly manufactured millions of products and earned a long list of awards. Year after year, we are one of the World's Most Admired Companies. Our teams are the secret to our success. They are empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we all understand that we must work together to win. Are you ready for a better career? A better future? We're Lear For You. SR. DATA ENGINEER, PALANTIR FOUNDRY SOUTHFIELD, MICHIGAN - WORLD HEADQUARTERS As a member of the IT Central Foundry COE team, the Sr. Software Engineer will be a highly motivated self-starter that embraces the challenge of implementing digital transformation while being part of the AI revolution at Lear! They will design, build, and deploy data-driven solutions that optimize operations across Lear's global manufacturing, supply chain and administrative functions. Collaborate with cross-functional teams to translate complex business problems into scalable Foundry based solutions. The Role: Your work will include, but not be limited to: * Developing and maintaining Foundry pipelines, code-repos, ontology objects, applications, operational dashboards AI Agents and AIP workflows. * Partnering with engineering, finance, and operations teams to identify opportunities to deliver digital transformation. * Designing and implementing custom workflows in Palantir Foundry to aggregate and analyze data from diverse sources like ERP, Shop-Floor/MES, Financial, Program Management and Engineering systems. Through agile development cycles that include rapid prototyping, MVP creation through fully functional production systems. * Supporting the rollout of new Foundry features and upgrades across Lear's global operations. * Providing technical expertise and training to end-users, empowering teams to leverage Foundry for analytics, reporting and AI/ML. Advantages of working at Lear in the IT Central Foundry COE group: * Access to cutting-edge technology and continuous learning opportunities through Lear's partnership with Palantir. * Collaborate with a diverse, talented team of engineers, data scientists, and business experts across the globe. * Be part of a high-impact, innovation-driven team at the forefront of digital transformation at a Fortune 500 company. Your Qualifications: * Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Economics or a related field. * 2+ years of experience working with Palantir Foundry. * 5+ years of experience in Big Data, Data Engineering, Data Analytics, ETL experience (Snowflake, Databricks, PowerBI etc.). * Strong proficiency and experience in Python, R, Spark SQL, and data modeling concepts. * Excellent problem-solving skills and ability to work independently and in teams. * Strong communication skills to engage with both technical and non-technical stakeholders. * Familiarity with agile methodologies, DevOps practices, and tools like Git, Docker, or Kubernetes for scalable deployments. Bonus If You Have: * Master's degree in a relevant discipline. * ERP, PLM, Engineering or other corporate systems experience in a large scale manufacturing environment. * Prior experience in a Forward Deployed Engineer or similar client-facing technical role. * Speak multiple languages. Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace. Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation. Location Code: 0090 Nearest Major Market: Detroit

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. The GDIA complexity 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. As a Data Scientist, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Complexity to align with their needs and processes to ensure relevancy of products. You'll have... Master's degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science 2+ year experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization 1+ year of experience delivering analytics solutions 1+ year experience with Agile team methodology Even better, you may have... PhD degree is preferred in quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field Proven experience with developing data products/solutions to support analytic applications in Ford's data ecosystem Experience with Product Driven Operating Model or Agile Product Development Process Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users Comfortable working in an environment where problems are not always well-defined Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner Well-organized, independent, and ready to work with minimal supervision Inquisitive, proactive, and interested in learning new tools and techniques Demonstrated hands on experience with deploying data products and/or analytic models in Ford's on-prem and/or Google Cloud Platform Demonstrated experience to translate real-world business problems into analytical formulations and interpreting analytics results with non-analytics business partners You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ******************************* This position is a range of salary grades 6-8. Visa sponsorship is available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-Hybrid What you'll do... Accelerate the application of value-added analytics and machine learning into the portfolio of products for Complexity Analytics. Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods. Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams. Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs. Act as a consultant to the business vs. an order taker. Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.

The Virtual Analysis Engineer (VE) role within the Product Interface (PI) organization focuses on optimizing manufacturability through advanced math-based analysis and data integration. This position ensures Body Manufacturing Requirements (MRs) compliance by leveraging automation, scripting, and cross-platform data connectivity. Key Responsibilities: · Develop and maintain NX scripts and utilities to automate compliance checks at defined math synch points. · Perform manual manufacturability analysis where automated tools are unavailable. · Generate and publish issue reports; collaborate with PI, Stamping, and Manufacturing Engineering teams to resolve gaps. · Create KPI dashboards to monitor compliance and drive process optimization. · Support manufacturing studies using simulation tools for product placement and workflow efficiency. · Integrate data sources across platforms using Azure Databricks and link insights into VE toolsets for real-time decision-making. Required Qualifications: · Bachelor's degree in computer science, Engineering or equivalent experience. · Expertise in Siemens NX scripting (VB.NET and/or Python), GUI development, and software packaging. · Experience with Azure Databricks for data acquisition and integration. · Proficiency in Power BI for dashboard creationand data visualization. · Strong analytical skills for complex problem-solving and process optimization. · Ability to manage priorities and deliver results in a dynamic, multi-program environment. Preferred Qualifications: · Familiarity with Siemens TeamCenter, TcVIS, NX, and Tecnomatix (Process Simulate/Designer). · Knowledge of BIW tool design, GMNA manufacturing standards, and GVDP deliverables. Job Type & Location This is a Contract to Hire position based out of Dearborn, MI. Pay and Benefits The pay range for this position is $43.00 - $50.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Dearborn,MI. Application Deadline This position is anticipated to close on Dec 27, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

A Day in the Life: The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. What You'll Do: TECHNICAL SENIORSHIP Communication with internal and external business users on Sterling Integrator mappings Making changes to existing partner integrations to meet internal and external requirements Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. Facilitate the review, vetting of these designs with the architecture governance bodies, as required. Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION Superior & demonstrated team building & development skills to harness powerful teams Ability to communicate effectively with different levels of Seniorship within the organization Provide timely updates so that progress against each individual incident can be updated as required Write and review high quality technical documentation CONTROL & AUDIT Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT Encourages and maintains a ‘Best practice sharing culture', always striving to find ways to improve service and change mind set. What We're Looking For: Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required 5+ years of IT experience 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) Strong interpersonal and communication skills with Agile/Scrum experience. Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. Prefer Travel, transportation, or hospitality experience Prefer experience with designing application data models for mobile or web applications Excellent written and verbal communication skills. Flexibility in scheduling which may include nights, weekends, and holidays What You'll Get: Up to 40% off the base rate of any standard Hertz Rental Paid Time Off Medical, Dental & Vision plan options Retirement programs, including 401(k) employer matching Paid Parental Leave & Adoption Assistance Employee Assistance Program for employees & family Educational Reimbursement & Discounts Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness Perks & Discounts -Theme Park Tickets, Gym Discounts & more

Mopar is seeking a technically skilled and innovative Data Engineer / Data Scientist to drive advanced analytics and data solutions. This role is central to designing, building, and optimizing data pipelines, developing predictive models, and delivering actionable insights that empower HQ stakeholders. The ideal candidate will blend strong engineering skills with analytical expertise to support data-driven decision-making and operational excellence across the region. 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. Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools. Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs. Collaborate with IT and analytics teams to integrate data from business systems into centralized data products. Advanced Analytics & Data Science: Analyze complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and operational improvements. Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation. Conduct A/B testing, causal inference, and statistical analysis to evaluate business initiatives and drive continuous improvement. Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions. Collaboration & Stakeholder Engagement: Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions. Educate and mentor team members on data best practices, analytics tools, and emerging technologies.

Job Description Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans? It's all happening on UWM's campus, where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement. It's no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It's at the very heart of how we treat each other, our clients and our community. Whether it's providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life. From the team member that holds a door open to the one that helps guide your career, you'll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you'll be welcomed here. Accepted here. And empowered to Be You Here. More reasons you'll love working here include: Paid Time Off (PTO) after just 30 days Additional parental and maternity leave benefits after 12 months Adoption reimbursement program Paid volunteer hours Paid training and career development Medical, dental, vision and life insurance 401k with employer match Mortgage discount and area business discounts Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court Wellness area, including an in-house primary-care physician's office, full-time massage therapist and hair salon Gourmet cafeteria featuring homemade breakfast and lunch Convenience store featuring healthy grab-and-go snacks In-house Starbucks and Dunkin Indoor/outdoor café with Wi-Fi Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to increase efficiency or improve the bottom line. Analyze UWM data sets to identify areas of optimization and improvement of business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models, algorithms, simulations, and predictive modeling to support insights and opportunities for improvement. Develop A/B testing framework and test model quality. Coordinate with different business areas to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy Qualifications Must Have Bachelor's degree in Finance, Statistics, Economics, Data Science, Computer Science, Engineering or Mathematics, or related field 5+ years of experience in statistical analysis, and/or machine learning 5+ years of experience with one or more of the following tools: machine learning (Python, MATLAB), data wrangling skills/tools (Hadoop, Teradata, SAS, or other), statistical analysis (Python, R, SAS) and/or visualization skills/tools (PowerBI, Tableau, Qlikview) 3+ years of experience collaborating with teams (either internal or external) to develop analytics solutions Strong problem solving skills Strong communication skills (interpersonal, written, and presentation) Nice to Have Master's degree in Finance, Statistics, Economics, Data Science, Computer Science, Mathematics or related field 3+ years of experience with R, SQL, Tableau, MATLAB, Python 3+ years of professional experience in machine learning, data mining, statistical analysis, modeling, optimization Experience in Accounting, Finance, and Economics

Insight Global is looking for a Data Engineer to join one of our Energy clients out of Detroit, MI. This individual's primary responsibility will be dissecting data from Alteryx. This position requires you be onsite in Detroit 3 days per week and remaining days are work from home. Responsibilities Include: - Analyze and optimize existing Alteryx workflows, ensuring data integrity and compliance. - Migrate automation, processes, and scripts from Alteryx to SailPoint or other secure platforms. Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location. Insight Global is looking for a Data Engineer to join one of our Energy clients out of Detroit, MI. This individual's primary responsibility will be dissecting data from Alteryx. This position requires you be onsite at DTE HQ in Detroit 3 days per week and remaining days are work from home. Responsibilities Include: - Analyze and optimize existing Alteryx workflows, ensuring data integrity and compliance. - Migrate automation, processes, and scripts from Alteryx to SailPoint or other secure platforms. Exact compensation may vary based on several factors, including skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 5+ years of experience as Data Engineer or similar role - Experience with Alteryx for data preparation and workflow automation. - Strong development/programming background o Proficiency in scripting and programming languages such as Python, Java, or PowerShell. - Understanding of secure coding practices and ability to implement automation in compliance with security standards. - Bachelor's Degree in Computer Science, Information Systems, or related field. - Experience with SailPoint or other Identity Governance platforms. - Knowledge of API development and integration for data and identity systems.

Job DescriptionData Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board:************************************* For more information about CGS please visit: ************************** or contact:Email: ******************* #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mars United℠ Commerce is a global commerce marketing practice that aligns people, technology, and intelligence to make the business of our clients better today than it was yesterday. Our worldwide capabilities coalesce into four key disciplines - Strategy & Analytics, Content & Experiences, Digital Commerce, and Retail Consultancy - that individually deliver unmatched results for clients and collectively give them an unparalleled network of seamlessly integrated functions across the entire commerce marketing ecosystem. These disciplines are powered by our industry-leading technology platform, Marilyn, which helps marketers understand the total business impact of their commerce marketing activation, enabling them to make better decisions, create connected experiences, and drive stronger, measurable results. Learn more at **************************** Overview Part of the overall Analytics Group, the Data Science team is responsible for all data modeling, algorithm development, and creating machine learning and AI models. They develop techniques such as regression, classification, clustering, natural language processing (NLP), and more. Additionally, they focus on marketing analytics, using advanced data science techniques to analyze marketing performance, optimize campaigns, and provide actionable insights to enhance marketing effectiveness. ● Core Responsibilities: Data Modeling, Feature Engineering, Sentiment Analysis, Propensity Modeling, CM3, Model Training & Testing, Forecasting, Multi-touch/Data-driven Attribution, etc. ● Primary Tools: Databricks, Azure Synapse, Alteryx, Python, SQL Responsibilities As a Data Scientist, you will leverage your strong technical skills and experience to develop data science and AI solutions. This role requires a deep understanding of data science and machine learning techniques and the ability to collaborate with various teams to ensure data quality and actionable insights. Specifically, the Data Scientist will: ● Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects. ● Work closely with cross-functional teams, including analysts, product managers, and domain experts, to understand business requirements, formulate problem statements, and deliver relevant data science solutions. ● Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources. ● Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems. ● Own and manage complex ETL pipelines to clean, preprocess, and transform large datasets. ● Identify and engineer relevant features to enhance model performance and accuracy. ● Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models. ● Communicate findings and recommendations through comprehensive reports and engaging presentations. ● Support wider agency initiatives. ● Show up - be accountable, take responsibility, and get back up when you are down. ● Make stuff. ● Share so others can see what's happening. Qualifications A Bachelors'/Master's degree in Mathematics, Statistics, Data Analytics, Computer Science, or a directly related field. ● 1+ years of industry experience in a data science/data analysis/statistical analyst role. ● Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using Python/R libraries and SQL. ● Familiarity with relational, SQL, and NoSQL databases. ● Databricks experience is a big plus point. ● Knowledge of statistical analysis tools such as R is a plus. ● Knowledge of scripting in SQL and Python using OOP concepts. ● Experience with PowerBI or Tableau. ● Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. ● Experience in DevOps or MLOps is a plus. ● Experience with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch) is a plus. ● Strong communication skills to effectively convey complex findings to non-technical stakeholders. ● Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams. ● Critical thinking to analyze data and derive meaningful insights. ● Experience in the marketing domain is preferred. ● Ensure the accuracy and reliability of data through rigorous QA processes. ● Validate model outputs to ensure they meet business requirements. ● Conduct unit tests and validation checks on data and models. ● Perform A/B testing to evaluate model performance and impact. ● Document all data analysis and modeling processes. ● Maintain comprehensive records of data sources, methodologies, and results. ● Ensure compliance with data governance and security policies. Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. Compensation Range: $54,910 to $72,300 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/15/2026. All your information will be kept confidential according to EEO guidelines.

Data Engineer (Multiple Openings) Duties: Responsible for the development and implementation of a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Be an integral part of our analytics team helping implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging our cloud-based platform. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios, and prescribe actions. Drive operational efficiency by maintaining our data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements. Create technical and system documentation. Work in an Agile environment, collaborating with our Engineering and Product teams. Participate in daily standups, groom backlogs, write insightful user stories, and perform acceptance testing. Build and manage data pipelines, data cleaning, and database systems (SQL and NoSQL). Utilize machine learning models and AI/ML technologies using AWS, Azure, and/or GCP Services Location: Various unanticipated worksites throughout the U.S. Telecommuting: Permitted. Direct Reports: None. Reports To: Chief Operating Officer. Minimum Qualifications: Education: Bachelor* - Data Science, Computer Science/Engineering, or a related field of study. Experience: Two* (2) years in the position above, or in a related data scientist role. Education and/or experience must include each of the following: 1. Data analysis using Python. 2. Data management using SQL. 3. Database storage using AWS and Azure. *Will accept equivalent foreign degree; will accept a Master's degree in above fields of study in lieu of experience; will also accept any suitable combination of education, training, and /or experience. Employer Contact: Jennifer Blakely Human Resources Manager Danlaw, Inc. 41121 Vincenti Court Novi, MI 48375 Attn: LC25-101

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Our services are vast and we produce software and web products. We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift programming languages to create native applications for iPhone, whereas we use Android Code to develop native applications for Android devices. To create applications that work on cross-platforms, we use a number of frameworks such as Titanium, PhoneGap and JQuery mobile. Furthermore, we build web products and offer services such as web designing, layouts, responsive designing, graphic designing, web application development using frameworks based on model view controller architecture and content management system. Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from this, we also provide IT Staffing services that can help your organization to a great extent as you can hire highly skilled personnel's through us. We make sure that we deliver performance driven products that are optimally developed as per your organization's needs. Take a shot at us for your IT requirements and experience a radical change. Job Description Position: ETL Architect Location: Southfield, MI Duration: Contract to hire Need candidates on W2 only 15-17 yrs. Experience · This person will lead teams and work with management and executives · Must have excellent communication · This person is not hands on but must be able to speak to and understand how things work (Healthcare) · Must have 3-4 yrs. as an architect and be able to show their career progression · Cognos and Business Objects are nice to have The Informatica ETL Architect has the overall responsibility for assessing requirements and defining the strategy, technical architecture, implementation plan and delivery of data warehouse projects. The Informatica ETL Architect must have prior experience completing successful data warehousing implementations as well as broad background and experience with IT application development. This individual is responsible for establishing the long term strategy and technical architecture as well as the short term scope for a multi-phased data warehouse effort and should have strong professional consulting skills and the ability to communicate well at all levels of the organization. Top Skill Set:• Lead ETL architecture and design as well as data flow diagramming• Define and implement ETL development standards & procedures• Ensure ETL quality through code reviews and throughout inspection & knowledge sharing• At least 12 years experience with Informatica in a Developer/Tech Lead role• Knowledge of Health Care Insurance Payer Data Warehousing Preferred• Ability to develop a technical work plan and assign work and coordinate across multiple developers and projects. Required Skills/Experience• 12 to 16 Years of Informatica ETL development experience• At least 4 years experience as Informatica ETL Architect• At least 8-10 years experience with Informatica in a Developer/Tech Lead role• Mastery in data warehousing concepts. Candidate should be able to clearly communicate fundamental concepts during the interview and demonstrate previous experience in all aspects.• MUST HAVE strong SQL skills in Oracle Partitioned Environment• Experience in Business Intelligence reporting tools like Cognos and Business Objects preferred• Experience in Oracle database programming using Partitioning, Materialized View and OLAP• Experience in tuning Oracle queries/processes and performance management tools TOOLS & TECHNOLOGIES Informatica 8.x and above (9.1 Preferred) PowerCenter PowerExchange Data Quality Oracle 10g and above Unix Shell Scripting (AIX, Linux) Scheduling Tools (any one of Tivoli, Autosys and Ctrl-M) SQL Additional Information Regards, Vishal Rana Talent & Client Acquisition Specialist Phone: 510 254 3300 Ext 178 |

Lear For You We work hard for the people who work for us. We champion our teams. We foster collaboration, inclusion, respect and excellence. What we are trying to say is we want to be more for you. We are your path to a better career, a better future, and a better you. Our teams have invented groundbreaking technologies, flawlessly manufactured millions of products and earned a long list of awards. Year after year, we are one of the World's Most Admired Companies. Our teams are the secret to our success. They are empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we all understand that we must work together to win. Are you ready for a better career? A better future? We're Lear For You. SR. DATA ENGINEER, PALANTIR FOUNDRY SOUTHFIELD, MICHIGAN - WORLD HEADQUARTERS As a member of the IT Central Foundry COE team, the Sr. Software Engineer will be a highly motivated self-starter that embraces the challenge of implementing digital transformation while being part of the AI revolution at Lear! They will design, build, and deploy data-driven solutions that optimize operations across Lear's global manufacturing, supply chain and administrative functions. Collaborate with cross-functional teams to translate complex business problems into scalable Foundry based solutions. The Role: Your work will include, but not be limited to: Developing and maintaining Foundry pipelines, code-repos, ontology objects, applications, operational dashboards AI Agents and AIP workflows. Partnering with engineering, finance, and operations teams to identify opportunities to deliver digital transformation. Designing and implementing custom workflows in Palantir Foundry to aggregate and analyze data from diverse sources like ERP, Shop-Floor/MES, Financial, Program Management and Engineering systems. Through agile development cycles that include rapid prototyping, MVP creation through fully functional production systems. Supporting the rollout of new Foundry features and upgrades across Lear's global operations. Providing technical expertise and training to end-users, empowering teams to leverage Foundry for analytics, reporting and AI/ML. Advantages of working at Lear in the IT Central Foundry COE group: Access to cutting-edge technology and continuous learning opportunities through Lear's partnership with Palantir. Collaborate with a diverse, talented team of engineers, data scientists, and business experts across the globe. Be part of a high-impact, innovation-driven team at the forefront of digital transformation at a Fortune 500 company. Your Qualifications: Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Economics or a related field. 2+ years of experience working with Palantir Foundry. 5+ years of experience in Big Data, Data Engineering, Data Analytics, ETL experience (Snowflake, Databricks, PowerBI etc.). Strong proficiency and experience in Python, R, Spark SQL, and data modeling concepts. Excellent problem-solving skills and ability to work independently and in teams. Strong communication skills to engage with both technical and non-technical stakeholders. Familiarity with agile methodologies, DevOps practices, and tools like Git, Docker, or Kubernetes for scalable deployments. Bonus If You Have: Master's degree in a relevant discipline. ERP, PLM, Engineering or other corporate systems experience in a large scale manufacturing environment. Prior experience in a Forward Deployed Engineer or similar client-facing technical role. Speak multiple languages. Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace. Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.

We are seeking a highly skilled and experienced Senior Data Scientist specializing in Marketing Analytics to join our dynamic team. In this role, you will be instrumental in leveraging data-driven insights to optimize marketing strategies, drive customer engagement, and directly contribute to the growth and success of the Ford Pro brand. At Ford Pro, you'll be part of a team that is transforming the commercial vehicle industry by delivering innovative and connected solutions. You will have the opportunity to make a significant impact by applying cutting-edge data science to real-world marketing challenges, influencing strategic decisions, and contributing to a business that is crucial to the success of commercial enterprises worldwide. Join us in driving human progress through freedom of movement and shaping the future of work. Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Experience: 5+ years of progressive experience in Data Science, with a significant focus on marketing analytics or related business domains. Technical Proficiency: 3+ years expert proficiency in programming languages such as Python or R, and strong SQL skills. Extensive experience with relevant data science libraries and frameworks (e.g., Scikit-learn, XGBoost, TensorFlow/PyTorch, Pandas). Strong understanding and practical experience with advanced statistical modeling, machine learning techniques (e.g., regression, classification, forecasting, causal inference). Demonstrated experience with cloud platforms (e.g., Google Cloud Platform, AWS, Azure), including building data processing pipelines (e.g., Spark, Dataflow) and utilizing managed machine learning services. Problem-Solving: Proven ability to independently translate ambiguous business problems into solvable data science problems and deliver impactful, production-ready solutions. Communication: Excellent communication and data storytelling skills, with the ability to articulate complex analytical results and their business implications clearly to both technical and non-technical audiences. Collaboration: Demonstrated experience collaborating effectively with cross-functional teams, managing stakeholder expectations, and contributing to a highly collaborative environment. Even Better If You Have An advanced degree (Master's or Ph.D.) in a quantitative field. Direct experience with A/B testing design, implementation, and analysis, as well as other experimental design methodologies. Expertise in specific marketing analytics areas such as customer segmentation, lifetime value (LTV) modeling, campaign optimization, media mix modeling, or attribution modeling. Hands-on experience with MLOps practices, including model deployment, versioning, and automated monitoring in production environments. Contributions to open-source projects, academic publications, or industry conferences in relevant data science or marketing analytics fields. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This role is on-site in Dearborn, MI, you will be required to be in office 4x week. *Visa Sponsorship is NOT provided for this specific role * *Relocation assistance IS provided for this specific role* Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-OnSite #LI-DS2 Drive Impactful Solutions: Lead end-to-end data science initiatives, from problem definition to deployment and monitoring, to drive key business outcomes in marketing analytics for Ford Pro. This includes designing and delivering production-grade data science solutions for complex marketing problems, even when standard methods fall short. Apply Expertise: Leverage expert knowledge in at least one data science domain (e.g., forecasting, prediction, causal inference, experimentation) to solve intricate marketing challenges. Strategic Partnership: Collaborate closely with marketing stakeholders to define data-driven strategies, align on roadmaps, and translate complex business requirements into actionable technical tasks. Build Robust Pipelines: Develop and maintain robust, scalable data science pipelines, ensuring high quality, reproducibility, and continuous monitoring of model performance, including detection of feature drift and prediction distributions. Influence & Innovate: Influence team data science strategy, standards, and best practices. Champion knowledge sharing, reusable data science assets, and evaluate emerging technologies and research for potential business applications within the marketing domain. Communicate Insights: Translate complex data insights into strategic implications, fostering data-driven decision-making at higher levels across multiple teams and product areas within Ford Pro.

The Virtual Analysis Engineer (VE) role within the Product Interface (PI) organization focuses on optimizing manufacturability through advanced math-based analysis and data integration. This position ensures Body Manufacturing Requirements (MRs) compliance by leveraging automation, scripting, and cross-platform data connectivity. Key Responsibilities: * Develop and maintain NX scripts and utilities to automate compliance checks at defined math synch points. * Perform manual manufacturability analysis where automated tools are unavailable. * Generate and publish issue reports; collaborate with PI, Stamping, and Manufacturing Engineering teams to resolve gaps. * Create KPI dashboards to monitor compliance and drive process optimization. * Support manufacturing studies using simulation tools for product placement and workflow efficiency. * Integrate data sources across platforms using Azure Databricks and link insights into VE toolsets for real-time decision-making. Required Qualifications: * Bachelor's degree in computer science, Engineering or equivalent experience. * Expertise in Siemens NX scripting (VB.NET and/or Python), GUI development, and software packaging. * Experience with Azure Databricks for data acquisition and integration. * Proficiency in Power BI for dashboard creationand data visualization. * Strong analytical skills for complex problem-solving and process optimization. * Ability to manage priorities and deliver results in a dynamic, multi-program environment. Preferred Qualifications: * Familiarity with Siemens TeamCenter, TcVIS, NX, and Tecnomatix (Process Simulate/Designer). * Knowledge of BIW tool design, GMNA manufacturing standards, and GVDP deliverables. Job Type & Location This is a Contract to Hire position based out of Dearborn, MI. Pay and Benefits The pay range for this position is $43.00 - $50.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Dearborn,MI. Application Deadline This position is anticipated to close on Dec 27, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

Mopar is seeking a technically skilled and innovative Data Engineer / Data Scientist to drive advanced analytics and data solutions. This role is central to designing, building, and optimizing data pipelines, developing predictive models, and delivering actionable insights that empower HQ stakeholders. The ideal candidate will blend strong engineering skills with analytical expertise to support data-driven decision-making and operational excellence across the region. 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. * Ensure data quality, integrity, and accessibility by developing automated validation and monitoring tools. * Optimize data workflows for performance, scalability, and reliability, supporting both batch and real-time analytics needs. * Collaborate with IT and analytics teams to integrate data from business systems into centralized data products. Advanced Analytics & Data Science: * Analyze complex datasets to uncover trends, patterns, and actionable insights that inform business strategies and operational improvements. * Build, train, and deploy predictive models and machine learning algorithms for applications such as performance forecasting, anomaly detection, and customer segmentation. * Conduct A/B testing, causal inference, and statistical analysis to evaluate business initiatives and drive continuous improvement. * Apply best practices in data visualization to ensure clarity, accuracy, and accessibility of insights, including interactive dashboards, automated reporting, and mobile-friendly solutions. Collaboration & Stakeholder Engagement: * Serve as a technical liaison between HQ analytics and business teams, translating business needs into scalable data solutions. * Educate and mentor team members on data best practices, analytics tools, and emerging technologies. Basic Qualifications: * Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field * 5+ years of experience in data engineering, analytics, or data science (automotive industry experience preferred) * Proficiency in programming languages such as Python and SQL * Hands-on experience with ETL/ELT tools, data modeling, and cloud platforms (Snowflake, etc.) * Strong analytical thinking, problem-solving skills, and attention to detail * Excellent communication and presentation abilities, with a proven ability to explain complex technical concepts to diverse audiences * Ability to manage multiple priorities and deliver results in a fast-paced environment Preferred Qualifications: * Master's degree * Demonstrated experience designing and deploying business dashboards and data visualizations for large-scale automotive or after-sales operations * Advanced proficiency with business intelligence tools (e.g., Power BI, Tableau, Qlik) and experience integrating visualizations with cloud data platforms (e.g., Snowflake) * Familiarity with Mopar systems and performance metrics * Knowledge of machine learning, deep learning, and advanced analytics techniques * Certifications in cloud data engineering or analytics platforms

Team members in the Data Scientist role at UWM are responsible for modeling complex problems, discovering insights and identifying opportunities using statistics, algorithms, machine learning, and visualization techniques. Data Scientists work closely with executives, product owners, SME's, and other business teams to leverage data and help answer critical business decisions. Data Scientists at UWM need to be creative thinkers and propose innovative ways to look at problems by examining and discovering new patterns within our datasets and collaborating with our business stakeholders. They will need to validate their results using an experimental and iterative approach. Perhaps most importantly, they will need to be able to communicate their insights and results to the business in a clear, concise, and approachable way. They need to be storytellers of their work. These professionals will need a combination of business focus, data programming knowledge, and strong analytical and problem solving skills, to be able to quickly develop and test hypothesis, and provide conclusions in a clear, structured manner. This role includes the full data science lifecycle from analytic problem definition, through data wrangling, analysis, model development, reporting/visualization development, testing, deployment, and feedback. WHAT YOU WILL BE DOING * Work with stakeholders throughout the organization to identify opportunities for leveraging company data to increase efficiency or improve the bottom line. * Analyze UWM data sets to identify areas of optimization and improvement of business strategies. * Assess the effectiveness and accuracy of new data sources and data gathering techniques. * Develop custom data models, algorithms, simulations, and predictive modeling to support insights and opportunities for improvement. * Develop A/B testing framework and test model quality. * Coordinate with different business areas to implement models and monitor outcomes. * Develop processes and tools to monitor and analyze model performance and data accuracy WHAT WE NEED FROM YOU Must Have * Bachelor's degree in Finance, Statistics, Economics, Data Science, Computer Science, Engineering or Mathematics, or related field * 5+ years of experience in statistical analysis, and/or machine learning * 5+ years of experience with one or more of the following tools: machine learning (Python, MATLAB), data wrangling skills/tools (Hadoop, Teradata, SAS, or other), statistical analysis (Python, R, SAS) and/or visualization skills/tools (PowerBI, Tableau, Qlikview) * 3+ years of experience collaborating with teams (either internal or external) to develop analytics solutions * Strong problem solving skills * Strong communication skills (interpersonal, written, and presentation) Nice to Have * Master's degree in Finance, Statistics, Economics, Data Science, Computer Science, Mathematics or related field * 3+ years of experience with R, SQL, Tableau, MATLAB, Python * 3+ years of professional experience in machine learning, data mining, statistical analysis, modeling, optimization * Experience in Accounting, Finance, and Economics THE PLACE & THE PERKS Ready to join thousands of talented team members who are making the dream of home ownership possible for more Americans? It's all happening on UWM's campus, where our award-winning workplace packs plenty of perks and amenities that keep the atmosphere buzzing with energy and excitement. It's no wonder that out of our six pillars, People Are Our Greatest Asset is number one. It's at the very heart of how we treat each other, our clients and our community. Whether it's providing elite client service or continuously striving to improve, our pillars provide a pathway to a more successful personal and professional life. From the team member that holds a door open to the one that helps guide your career, you'll feel the encouragement and support on day one. No matter your race, creed, gender, age, sexual orientation and ethnicity, you'll be welcomed here. Accepted here. And empowered to Be You Here. More reasons you'll love working here include: * Paid Time Off (PTO) after just 30 days * Additional parental and maternity leave benefits after 12 months * Adoption reimbursement program * Paid volunteer hours * Paid training and career development * Medical, dental, vision and life insurance * 401k with employer match * Mortgage discount and area business discounts * Free membership to our large, state-of-the-art fitness center, including exercise classes such as yoga and Zumba, various sports leagues and a full-size basketball court * Wellness area, including an in-house primary-care physician's office, full-time massage therapist and hair salon * Gourmet cafeteria featuring homemade breakfast and lunch * Convenience store featuring healthy grab-and-go snacks * In-house Starbucks and Dunkin * Indoor/outdoor café with Wi-Fi DISCLAIMER All the above duties and responsibilities are essential job functions subject to reasonable accommodation and change. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. Team members may be required to perform other or different job-related duties as requested by their team lead, subject to reasonable accommodation. This document does not create an employment contract, implied or otherwise. Employment with UWM is "at-will." UWM is an Equal Opportunity Employer. By selecting "Apply for this job online" you provide consent to UWM to record phone call conversations between you and UWM to be used for quality control purposes.