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Remote Data Science Jobs in Warren, MI (NOW HIRING)

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

Master's degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations Research, Mathematics, Marketing Science, Industrial Engineering, Computer Applications or a related ...

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 5+ years of experience in data science, with a strong background in statistical analysis, machine ...

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 5+ years of experience in data science, with a strong background in statistical analysis, machine ...

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Master's degree or foreign equivalent in Industrial and Operations Engineering, Computer Science ... Collaborate with Ford's Global Data Insights & Analytics and IT teams. Utilize Python, SQL, and ...

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Analytics Scientist

Dearborn, MI · On-site +1

$130K - $169K/yr

Master's degree or foreign equivalent in Computer Science, Statistics, Biostatistics, Mathematics ... Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix ...

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)

OCI Architect

Troy, MI · On-site +1

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)

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Showing results 1-20

Remote Data Science information

See Warren, MI salary details

$22.9K

$101.7K

$194.1K

How much do remote data science jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote data science in Warren, MI is $101,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,542.00 and $141,087.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
What are the most commonly searched types of Data Science jobs in Warren, MI? The most popular types of Data Science jobs in Warren, MI are:
What are popular job titles related to Remote Data Science jobs in Warren, MI? For Remote Data Science jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Warren, MI look for? The top searched job categories for Remote Data Science jobs in Warren, MI are:
What cities near Warren, MI are hiring for Remote Data Science jobs? Cities near Warren, MI with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Warren, MI as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,719 per year, or $48.9 per hour.
Palantir, Data Engineer

Palantir, Data Engineer

Strategic Employment

Detroit, MI • Remote

$113K - $135K/yr

Other

Posted 24 days ago


Job description

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for someone to work closely with stakeholders on low code data engineering solutions.

Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A background in stakeholder/client-facing roles, and the ability to solve problems is more important.

This is a full-time, direct hire role.

Ideal candidate will have:

  • 1+ years in stakeholder-facing Data Engineering/Data Analytics position
  • Consulting experience
  • Databricks, Foundry, or Snowflake
  • Python, PySpark, TypeScript

Location: HQ in Michigan, occasional travel required


Strategic Employment Partners logo

About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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