Associate Data Scientist
The Associate Data Scientist at Confidential Client is responsible for executing data science projects involving statistical and machine learning models to generate actionable business insights. This role involves managing large datasets, developing data science products, leveraging AI tools including large language models, and collaborating with cross-functional teams to support data-driven decision-making. The position emphasizes technical skill development, quality code practices, and continuous learning in a fast-paced environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Motor Vehicle Manufacturing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
As an Associate Data Scientist (entry-level) you will support analytics and modeling work across business teams. Typical responsibilities include:
- Execute assigned data science projects with defined scope, delivering accurate and timely results
- Develop and implement statistical and machine learning models (regression, classification, clustering, forecasting) under guidance
- Use interactive notebooks to explore data, prototype models and validate approaches
- Interpret model outputs and help translate findings into actionable insights for stakeholders
- Leverage AI-assisted tools and LLMs to accelerate analysis, research and code generation
- Contribute to building and maintaining data science products: models, pipelines, and reporting
- Support model training, evaluation and output-generation workflows
- Clean, transform and prepare large structured and unstructured datasets for analysis
- Write SQL and Python transformations and work with Snowflake/dbt workflows as needed
- Follow development best practices: version control, testing, documentation and reproducibility
- Participate in code reviews and produce clear, maintainable code
- Communicate progress and results to team members and cross-functional partners
Who You Are
- Bachelor’s degree in Mathematics, Computer Science, Engineering, Business, or related quantitative field (advanced degree preferred)
- 0–2 years’ experience in data science, analytics or related roles — OR an advanced degree in a quantitative discipline
- Strong intellectual curiosity, attention to detail and desire to learn quickly
- Comfortable working in a fast-paced environment with a sense of urgency
- Effective communicator who can collaborate across teams
Technical Skills
- Strong foundational programming skills in Python; familiarity with R is a plus
- Proficiency in SQL and experience working with relational data systems
- Familiarity with scikit-learn, pandas, numpy and related data science libraries
- Experience or exposure to Snowflake and dbt is a plus
- Familiarity with Git/version control and standard development workflows
- Basic understanding of statistical modeling and machine learning concepts
- Exposure to AI tools and prompt engineering concepts is a plus
- Willingness to learn containerization/deployment concepts (Docker, etc.)
Compensation & Benefits
- Base pay range: $80,580 - $110,000 (actual pay depends on experience, qualifications, and location)
- Competitive benefits may include paid time off, medical, dental, vision, 401(k) match, and potential bonus/commission or profit sharing. Sign-on bonuses and other incentives are subject to state and local laws, terms and conditions.
- Note: This posting complies with applicable pay transparency requirements for the job location.
Location & Additional Details
- Work location: Powderhorn, CO
- Travel as necessary
- This role may require a pre-employment drug screening
- Physical requirements: extended periods of screen time and sitting; occasional travel
- Confidential Client is an equal opportunity employer and offers reasonable accommodations for applicants with disabilities — contact the hiring team if you require an accommodation during the hiring process
Other Expectations
- Deliver accurate, reliable, and well-documented analytical outputs
- Build strong relationships within the Data Science team and with cross-functional partners
- Seek feedback and continuously improve technical and analytical skills
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.
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