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Data Scientist Jobs in Michigan (NOW HIRING)

Data Scientist - Palantir Developer

Ann Arbor, MI ยท On-site

$110K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

Data Scientist - Palantir Developer

Ann Arbor, MI ยท On-site

$110K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

Data Scientist - Conversational AI

Dearborn, MI ยท On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

You will join the Digital Cabin organization as the dedicated Data Scientist for our next-generation AI Digital Assistant. This AI-driven feature is currently active on mobile platforms and is ...

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics ...

New

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist ...

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist ...

Showing results 41-60

Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data scientist in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

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 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.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

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.

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 the most commonly searched types of Data Scientist jobs in Michigan? The most popular types of Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Data Scientist jobs? Cities in Michigan with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in MI? For Data Scientist jobs in MI, the most frequently searched job titles are:
Infographic showing various Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Data Scientist - Palantir Developer

KLA Corporation

Ann Arbor, MI โ€ข On-site

$110K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. 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. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking a highly motivated Data Scientist with hands-on experience developing solutions in Palantir Foundry. This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering.

The successful candidate will work directly with business stakeholders to understand operational challenges, gather requirements, translate business processes into Foundry solutions, and develop scalable analytics, applications, and AI-enabled workflows. This individual must be comfortable working independently, driving discussions with business partners, and delivering solutions from concept to deployment.

  • Partner directly with business stakeholders to gather, document, and refine business requirements.

  • Translate business processes and operational needs into scalable Palantir Foundry solutions.

  • Design and develop Foundry-native applications using Workshop, enabling business users to interact with data, workflows, and operational processes.

  • Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications, and operational workflows.

  • Build analytical models, dashboards, and data products that enable business decision-making.

  • Support AI and machine learning use cases within the Foundry ecosystem.

  • Collaborate with cross-functional teams including business users, IT, data engineers, and other Foundry developers.

  • Perform data validation, troubleshooting, testing, and root cause analysis.

  • Drive projects independently while effectively managing stakeholder expectations and timelines.

  • Create and maintain technical and functional documentation.

  • Promote best practices for data governance, solution design, and Foundry development.

Minimum Qualifications

  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.

  • 2+ years of hands-on Palantir Foundry development experience.

  • Maximum 5 years of total professional experience in Data Analytics, Data Science, Data Engineering, or related fields.

  • Experience building data pipelines, transformations, and operational applications in Foundry.

  • Strong SQL skills and experience working with large datasets.

  • Experience using Python for data analysis, automation, or machine learning.

  • Strong understanding of data modeling and business process transformation.

  • Demonstrated ability to work independently with business stakeholders.

  • Excellent communication, facilitation, and requirements gathering skills.

  • Ability to convert ambiguous business problems into technical solutions.

Base Pay Range: $110,000.00 - $187,000.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.