Data Scientist

Job Details
Posted Date:
June 11, 2024
Job ID:
Maryland Heights , Missouri
3 years
Job Description
  • Location: Maryland Heights, Missouri
  • Type: Contract
  • Job #46013

Technology Partners is currently seeking a talented Data Scientist. Do you have experience in econometrics, interpretable machine learning, and statistical inference, along with proficiency in coding with R or Python? Let us help you make your next big career move a reality!

What You Will Be Doing:

Join our dynamic team dedicated to driving evidence-based commercial decision-making through timely and actionable model insights. As a Data Scientist, you will work on commercial analytics, brand positioning, pricing, assumption management, demand forecasting, and risk modeling. You will collaborate with data warehouse and software engineering teams to productize analytic applications in a highly interactive, dynamic environment.

Key Responsibilities:

  • Develop and implement econometric models, interpretable machine learning algorithms, and statistical inference techniques.
  • Provide actionable insights to business stakeholders through model insights.
  • Engage effectively with business stakeholders and technical colleagues.
  • Work on new development projects and maintain existing systems.
  • Collaborate with data warehouse and software engineering teams to productize analytics applications.
  • Communicate complex technical information clearly to non-technical stakeholders.

Required Skills & Experience:

  • Bachelor's degree and 5 years of experience, or a Master’s degree with 3 years, or a PhD in Economics, Statistics, Marketing, or a related STEM field.
  • Strong background in econometrics, interpretable machine learning, and statistical inference.
  • Proficiency in coding with R or Python and the flexibility to use the other as needed.
  • Effective communication skills for engaging with business stakeholders and technical colleagues.
  • Strong statistical and analytical acumen.
  • Creative, initiative-driven, with critical thinking and proactive problem-solving abilities.

Desired Skills & Experience:

  • Experience with AWS, BigQuery, SQL, R-shiny, and Dash.
  • Experience in commercial analytics, brand positioning, pricing, assumption management, demand forecasting, and risk modeling.
  • Open to recent PhD graduates, as research experience fulfills work experience requirements.


  • Econometrics
  • Machine Learning
  • Statistical Inference
  • R and Python Programming
  • Effective Communication
  • Critical Thinking
  • Problem-Solving
  • Commercial Analytics

Pay:  $63.70 – $91 /hr.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.

If this position sounds like you, WE SHOULD TALK!

We realize our people are our most valuable asset, that is why we offer the following benefits:

  • Health, Dental, and Vision insurance
  • 401(k) retirement plan
  • Long and Short-Term disability
  • Life insurance
  • Direct deposit
  • Referral program

Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!

Keywords:  Data Scientist, Econometrics, Machine Learning, Statistical Inference, R, Python, Commercial Analytics, Brand Positioning, Pricing, Demand Forecasting, Risk Modeling, AWS, BigQuery, SQL, R-shiny, Dash

Looking for more opportunities with Technology Partners? Check out!

Technology Partners is an Equal Opportunity Employer. Technology Partners does not discriminate on the basis of race, color, religion, sex, national origin, age, disability or any other characteristic protected by applicable state or federal civil rights laws.

All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.

Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.

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