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Statistics Data Science Jobs in Detroit, MI (NOW HIRING)

Requirements Master's degree (or foreign equivalent) in Data Science, Statistics, Data Analytics, Quantitative Methods, or a closely related field. #J-18808-Ljbffr

... statistical analysis, machine learning, and predictive modeling techniques to solve business ... data science problems • Monitor the performance of implemented solutions and conduct recurring ...

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... Apply statistical analysis, machine learning, and predictive modeling techniques to solve business ...

... Statistics, Data Science, Business Analytics or related field Preferred : • Automotive, warranty, or aftersales experience • Experience working with large datasets and performance reporting • ...

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

... data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide ...

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Statistics Data Science information

See Detroit, MI salary details

$45.5K

$163.4K

$241.1K

How much do statistics data science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for statistics data science in Detroit, MI is $163,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,200.00 and $168,300.00 per year, depending on experience, location, and employer.

Can I get a data science job with a statistics degree?

A statistics degree can provide a strong foundation for a data science role, as it covers essential skills like data analysis, probability, and statistical modeling. However, proficiency in programming languages such as Python or R, experience with data manipulation tools, and knowledge of machine learning are often required to qualify for data science positions.

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

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

Is statistics and data science a good career?

Statistics and data science are considered strong career options due to high demand across industries such as technology, finance, and healthcare. These roles typically require skills in programming, data analysis, and machine learning, and often offer competitive salaries and growth opportunities.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling. However, statisticians are still essential for designing experiments, interpreting results, and ensuring data quality, making their skills valuable alongside AI tools in data science and analytics environments.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
What are popular job titles related to Statistics Data Science jobs in Detroit, MI? For Statistics Data Science jobs in Detroit, MI, the most frequently searched job titles are:
What cities near Detroit, MI are hiring for Statistics Data Science jobs? Cities near Detroit, MI with the most Statistics Data Science job openings:
Infographic showing various Statistics Data Science job openings in Detroit, MI as of July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $163,362 per year, or $78.5 per hour.

Full-time

Posted 4 days ago


Job description

Analyze and aggregate large-scale pharmacological and clinical datasets to ensure integrity and usability for drug development. Perform exploratory data analysis, including cleaning, organization, and visualization, to support pharmacometrics and model-based decisions. Apply statistical methods to deliver insights for clinical trial design and program strategy. Standardize data processing workflows and reusable code resources to improve efficiency and consistency. Conduct quality control reviews of datasets, statistical programs, and analytical reports before client delivery. Maintain clear documentation to ensure reproducibility and transparency. Collaborate with cross-functional teams to integrate findings into project planning and execution. Conduct literature reviews to support continuous improvement. Requirements Master's degree (or foreign equivalent) in Data Science, Statistics, Data Analytics, Quantitative Methods, or a closely related field. #J-18808-Ljbffr