Data Scientist
The Data Scientist at Confidential Client is responsible for managing and transforming large-scale vehicle data from diverse sources to ensure data integrity. The role involves designing and optimizing advanced machine learning models, developing scalable APIs, automating data pipelines, and applying statistical methods to provide actionable business insights that support automotive operations and strategic decision-making. This position requires expertise in Python, cloud platforms, and advanced analytics techniques to drive efficiency and innovation in a production environment.
About CareerTakes
CareerTakes is a next-generation AI recruiting platform that connects early-career talent with real roles at established companies across regulated industries.
👉 Important disclosure: CareerTakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Staffing and Recruiting.
Applicants for this role may also receive access to additional matched opportunities through the CareerTakes platform.
Role overview
This contract, entry-level Data Scientist role supports large-scale automotive and operational analytics for a confidential client. You will work across the full data lifecycle: ingesting and cleansing vehicle and operations data, building and deploying forecasting and predictive models, producing APIs and services in Python, and turning complex analysis into clear recommendations for stakeholders.
What you’ll do
- Explore, aggregate, transform, and cleanse vehicle and operations data from disparate sources to ensure integrity and consistency at scale
- Design, implement, validate, and iterate predictive machine learning and forecasting models (e.g., XGBoost, Prophet, ARIMA) to support sales, inventory, and production forecasts
- Build and maintain high-performance RESTful APIs and services in Python for model inference and data access
- Automate and streamline data pipelines: data acquisition, feature engineering, model training, deployment, and monitoring
- Apply Natural Language Processing (NLP) techniques to extract insights from unstructured text data when required
- Deliver rapid, ad-hoc analytical requests and present findings to business stakeholders and executives
- Provide mission-critical on-call support for production systems, troubleshooting and resolving issues with minimal operational impact
- Collaborate with engineering and operations teams to ensure deployed solutions integrate with manufacturing and business systems
Required (minimum) qualifications
- Master’s degree in Data Science, Computer Science, Computer Engineering, Systems Engineering, or closely related field — equivalent foreign degrees accepted
- One (1) year of relevant experience in roles such as Data Analyst, Data Engineer, or Data Engineering Specialist (entry-level)
- At least one (1) year of hands-on experience with all of the following tools/technologies:
- Python
- SQL
- Scikit-learn
- XGBoost
- Prophet and/or ARIMA-based forecasting
- RESTful APIs
- Google Cloud Platform (GCP)
- Terraform
- Docker
- VBA
- ODBC
- Strong statistical reasoning and experience applying regression, Bayesian inference, and machine-learning forecasting techniques
- Clear communication skills and ability to translate technical results into actionable business recommendations
Will also accept any suitable combination of education, training, and/or experience.
Preferred skills (nice to have)
- Familiarity with production ML deployment and monitoring best practices
- Experience with large-scale automotive datasets or manufacturing operations data
- Practical knowledge of model interpretability and feature engineering for business stakeholders
Compensation & location
- Salary: $128,377 per year
- Location: Southfield, MI, with multiple undetermined worksites throughout the U.S.
- Employment type: Contract
- Seniority: Entry level
(We list the employer-provided base salary above to comply with pay-transparency requirements where applicable.)
How to apply
CareerTakes is handling initial application screening for this role. To apply, submit your resume and any supporting materials via the CareerTakes application flow on this posting and reference job code 1392.
If requested by the client, resumes referencing job code 1392 may also be mailed to:
Attn: HR Generalist
Confidential Client
26555 Evergreen, Suite 1700
Southfield, MI 48076
Applicants may receive access to additional matched roles through CareerTakes.
Equal Opportunity & Hiring Transparency
CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind.
To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.