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Data Scientist Jobs in Novi, MI (NOW HIRING)

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

As a Senior Data Scientist, DCC, 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 ...

Conclusive Marketing

Lead Data Scientist

Detroit, MI · On-site

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 ...

Orbotech

HR Analytics Data Scientist

Ann Arbor, MI · On-site

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Kla

HR Analytics Data Scientist

Ann Arbor, MI

$87.40K - $148.60K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Domino's

Sr. Data Scientist (REF39029K)

Ann Arbor, MI · On-site

POSITION TITLE: Sr. Data Scientist POSITION LOCATION: 30 Frank Lloyd Wright Dr., Ann Arbor, MI 48105 HOURS: Full Time/40 hours JOB DUTIES: Develop and maintain accurate system level forecasts on ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Facilitate the internal and external data science & AI network * Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series) Basic Qualifications: * Master in Data ...

KLA

HR Analytics Data Scientist

Ann Arbor, MI

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

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$35.2K

$115.2K

$184.4K

How much do data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist in Novi, MI is $115,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What is the job of a data scientist?

A data scientist analyzes large datasets to extract insights and support decision-making using statistical methods, programming, and data visualization tools. They often work with machine learning models and require skills in programming languages like Python or R, as well as knowledge of databases and data analysis techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Novi, MI? The most popular types of Data Scientist jobs in Novi, MI are:
What are popular job titles related to Data Scientist jobs in Novi, MI? For Data Scientist jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Novi, MI look for? The top searched job categories for Data Scientist jobs in Novi, MI are:
What cities near Novi, MI are hiring for Data Scientist jobs? Cities near Novi, MI with the most Data Scientist job openings:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Novi, MI as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,152 per year, or $55.4 per hour.
Reliability Data Scientist

Reliability Data Scientist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 24 days ago

Job description

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.
Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!
At Ford, Reliability is at the core of everything we do. The Reliability Data Scientist is a specialized role that sits at the intersection of engineering, statistics, and machine learning. In this position, you will leverage large-scale datasets-including telematics, warranty claims, manufacturing logs, and sensor data-to predict product life cycles, identify failure modes, and drive proactive engineering improvements. Your goal is to transform data into actionable insights that improve product quality, reduce warranty costs, and enhance the customer experience.
Responsibilities
  • Predictive Modeling: Develop and deploy statistical models to predict component and system failures. This includes utilizing survival analysis, degradation modeling, and accelerated life testing (ALT) data.
  • Statistical Analysis: Apply advanced statistical methods to analyze censored data. You will frequently perform Weibull analysis and scale analysis to large data sets.
  • Root Cause Investigation: Partner with Reliability and Quality Engineering teams to identify the "why" behind failures using anomaly detection and correlation analysis on fleet-wide data.
  • Telematics & IoT Integration: Build pipelines to process high-frequency sensor data from the field to monitor real-time "health scores" for complex systems.
  • Design for Reliability (DfR): Provide data-driven recommendations to design teams during the development phase to ensure new products meet or exceed reliability targets.
  • Automated Reporting: Design and maintain dashboards that track Key Performance Indicators (KPIs) such as Mean Time Between Failures, Mean Time To Failure, and Repairs per Thousand.
  • Simulation: Use Monte Carlo simulations to estimate system-level reliability based on individual component performance and redundancy configurations.

Qualifications
Required Qualifications
  • Education: Master's Degree in Data Science, Statistics, Reliability Engineering, Systems Engineering, or a related quantitative field.
  • Experience: 5+ years of experience in a data science role, preferably within manufacturing, automotive, aerospace, or energy sectors.
  • Statistical Expertise: Deep understanding of probability distributions (Normal, Lognormal, Exponential, and Weibull) and their applications in reliability.
  • Customer Focus: Understanding Ford customers and their desire for dependability, uptime and low total cost of ownership.

Technical Skills
  • Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, PyMC3/Stan) or R (survival, flexsurv).
  • Data Management: Advanced SQL skills for querying large relational databases. Experience with Big Data tools (Spark, Hadoop, or Snowflake) is highly preferred.
  • Reliability Tools: Familiarity with industry-standard software such as ReliaSoft (Weibull++, BlockSim) or JMP.
  • Mathematics: Strong grasp of calculus-based statistics, specifically regarding hazard and reliability functions
  • Visualization: Experience with Tableau, Power BI, or Matplotlib/Seaborn for communicating complex statistical trends to non-technical stakeholders.
  • Physics of Failure: Knowledge of Physics of Failure (PoF) and how it integrates with empirical data models.

Soft Skills & Competencies
  • Analytical Rigor: A methodical approach to problem-solving and a high degree of attention to detail regarding data integrity.
  • Cross-functional Collaboration: Ability to bridge the gap between data science and traditional hardware engineering.
  • Communication: Capable of translating complex mathematical findings into business relevant strategies

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 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.

This position is leadership level 6 and ranges from $115,500-$218,100.
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/LL6
Visa sponsorship is not 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
Ford Product Development is utilizing Design Thinking & User Experience methods to deliver breakthrough products and services that will delight our customers. Our employees are laser-focused on bringing innovative, exciting, and sustainable ideas to life. From autonomy and electrification, to smart mobility technologies, our Product Development teams around the world are working together with excitement to make smart vehicles for a smart world.
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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