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Data Science Associate Jobs in Pontiac, MI (NOW HIRING)

Deloitte

Senior Forward Deployed Engineer- AWS

Detroit, MI

$103K - $142K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Lead Forward Deployed Engineer - AWS

Detroit, MI

$101K - $133K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Forward Deployed Engineer- AWS

Detroit, MI

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Digital Assets Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

... Associate, you will play a pivotal role in designing and implementing seamless integration ... Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems ...

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Showing results 21-40

All JobsData Science Associate JobsData Science Associate Jobs in Pontiac, MI

Data Science Associate information

See Pontiac, MI salary details

$57.1K

$67.6K

$128.1K

How much do data science associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science associate in Pontiac, MI is $67,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $59,100.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Pontiac, MI?

The most popular types of Data Science jobs in Pontiac, MI are:

What cities near Pontiac, MI are hiring for Data Science Associate jobs?

Cities near Pontiac, MI with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Pontiac, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,573 per year, or $32.5 per hour.

Product Manager, Data Platform

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 27 days ago

Job description


We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
We are looking for a visionary technical Product Manager to lead the strategy, development, and execution of Data Platform Engineering products. In this role, you will drive innovation and ensure seamless data discoverability, governance, and quality by overseeing a suite of Data products, including Data Catalog, Data Product Creation, and Metadata Management.
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. Your work will empower teams across Ford to make data-driven decisions that shape the future of mobility.
Why Join Us
  • Be a Data Pioneer: Shape the future of data-driven mobility with cutting-edge metadata solutions.
  • Work with the Best: Join a world-class team of engineers, data scientists, and business leaders driving Ford's transformation.
  • Impact at Scale: Your work will power autonomous vehicles, connected car experiences, and AI-driven insights.
  • Grow with Us: Ford is investing in data, AI, and digital transformation, providing endless opportunities for learning and growth.

Responsibilities
  • Define and execute the vision and roadmap for products in the Data Platform Engineering ensuring alignment with Ford's broader data and analytics strategy.
  • Lead user discovery and research across multiple personas (business associates, plant engineers, analysts, developers) to ensure solutions address real pain points.
  • Translate user needs into epics, PRDs, and evaluation benchmarks; prioritize features and enhancements using impact-driven frameworks.
  • Drive adoption and continuous improvement of solutions, enhancing data governance, operational efficiency, and regulatory compliance.
  • Define KPIs and success metrics to measure adoption, discoverability, and quality.
  • Lead the development of a Data Catalog that enables seamless search, discovery, and governance of enterprise-wide data assets.
  • Develop metadata governance models, ensuring metadata standardization, data stewardship, and AI-driven metadata automation.
  • Partner with engineering, data science, and platform teams to deliver scalable and secure solutions across cloud and enterprise ecosystems.
  • Communicate product strategy and progress to senior leadership and stakeholders, influencing adoption and organizational alignment.
  • Build and maintain success metrics around adoption, accuracy, usability, and performance to guide continuous improvement.

Qualifications
Minimum Qualifications:
  • Bachelor's Degree in Computer Science, Engineering, or related field
  • 8+ years of Product Management experience, ideally with data, analytics, AI/ML, or developer tools.
  • Strong grasp of cloud technologies, enterprise data platforms, and modern analytics ecosystems. 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)
  • Experience setting KPIs and evaluation frameworks for AI/analytics products.
  • Strong written and verbal communication skills; able to engage both executive and technical audiences.
  • Experience working with big data platforms (Snowflake, Databricks, Kafka) and API-based integrations.
  • Demonstrated ability to work across cross-functional teams (engineering, ML, UX, business stakeholders) to drive end-to-end delivery.
  • Excellent skills in user research, stakeholder engagement, and storytelling with data.

Preferred Qualifications:
  • Master's degree in a relevant technical field. (Preferred, not necessary)
  • Proven success in AI/ML-enabled products, with strong understanding of large language models (LLMs), NLP, and conversational interfaces.
  • Strong understanding and experience with data-centric architectures, including data ingestion, transformation, storage, and consumption patterns, with an emphasis on data quality and integrity.
  • Familiarity with distributed systems, microservices architectures, and event-driven patterns in a cloud environment.
  • Experience with building and managing data pipelines, data integration, or enterprise system integration projects.
  • Knowledge of monitoring, logging, and alerting best practices for production systems on GCP.
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare 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.

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:
This position is a range of salary grades 7-8 and ranges from $99,600-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is available for this position.
Domestic relocation 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. 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 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
#LI-Hybrid
#LI-PW1
About Us
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
About the Team
We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people's lives. Join the Ford family as we change the way the world moves.
Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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