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Contract Python Data Science Jobs in Michigan (NOW HIRING)

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Minimum of 5 years of experience in data science, econometrics or a related field * Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as Databricks, Snowflake ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven ... Skilled in SQL, Python, and R, you navigate platforms like Fivetran, Snowflake, and DBT with ease.

Td

Principal Data Scientist (US)

Southfield, MI

$148K - $223K/yr

Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions * Uses a wide range of programing languages (e.g. Python) and ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions * Uses a wide range of programing languages (e.g. Python) and ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Corporate Services

Lead Data Scientist

Detroit, MI

... data science solutions. Lead Data Scientist architects, defines, and design the data science ... Python, R or SAS. Two plus (2+) years of experience involving quantitative data analyses for ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

... Science, Operations Research, or equivalent field. * 3+ years of experience developing analytical or optimization models in Python. * Experience building and maintaining data pipelines using SQL and ...

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All JobsContract Python Data Science JobsContract Python Data Science Jobs in Michigan

Contract Python Data Science information

What is the difference between Contract Python Data Science vs Contract Data Analyst?

AspectContract Python Data ScienceContract Data Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistical skills
Work EnvironmentTech companies, consulting firms, startupsCorporate, finance, marketing, healthcare sectors
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications
Job FocusDeveloping models, advanced analytics, predictive insightsData cleaning, reporting, descriptive analysis

Contract Python Data Science roles typically involve building predictive models and advanced analytics using Python, while Contract Data Analysts focus on data cleaning, reporting, and visualization. Both roles require strong analytical skills but differ in technical complexity and focus areas.

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Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 26 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases
  • Design and implement econometric and causal inference models to quantify the impact of vehicle incentives, pricing, and commercial levers on sales, margin, and demand
  • Estimate and interpret price and incentive elasticities across brands, segments, and regions, informing pricing and go-to-market strategies
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making
  • Communicate complex results clearly to both technical and non-technical audiences
  • Partner with Data Engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage
  • Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance
  • Conduct peer code reviews and support best practices in model development and deployment
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field)
  • Minimum of 5 years of experience in data science, econometrics or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of machine learning algorithms like:
    • Regression (linear, logistic)
    • Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
  • Experience with experimental design, and statistical inference
  • Ability to translate complex data into actionable insights for business stakeholders

Preferred Qualifications:
  • Master's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field)
  • Automotive experience
  • Tree-based models (Random Forest, XGBoost, LightGBM)
  • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • Experience using PySpark for distributed data processing and feature engineering
  • Experience with Power BI or similar tools for data visualization and dashboarding
  • 2+ years of experience working with finance / pricing / incentives data
  • 2+ years of experience working with sales / commercial data
  • Strong communication and storytelling skills with the ability to influence decision-makers
  • Understanding of CI/CD workflows for automating model testing and deployment
  • Experience working with real-time data pipelines and event-driven architectures

What Stellantis employees say

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Hours and flexibility

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