Data Scientist at Corps Team

Remote | Freelance
Corps Team

Data Scientist

  • 55442 | Fully Remote
  • Employment Type: Contract
  • Job Number: 13868

Job Description

A global leader in the power sports industry is seeking an experienced Data Scientist for a 6+ months contract assignment. This assignment is fully remote.

The Data Scientist is responsible for creating recommendations for complex business decisions using predictive analytics. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, designing and implementing production algorithm scoring, and communicating results. You are primarily a data scientist but are passionate about developing advanced end-to-end analytics and technology solutions that drive value for our business.


  1. Develop analytical approaches to strategic business decisions
  2. Extract, cleanse, and combine data from multiple sources and systems
  3. Perform exploratory and targeted analyses, with a wide variety of statistical methods including: cluster, regression, decision tree/random forest, time series, neural network and others
  4. Build and publish visualizations supporting measurement of outcomes related to the analytical projects
  5. Collaborate cross-functionally to arrive at actionable insights
  6. Synthesize analytic results with business input to drive measurable change
  7. Effectively communicate technical analyses and results to business management
  8. Develop and continually improve multi-source data architecture and analytics procedures, systems, workflows
  9. Contribute to the development of end-to-end data driven solutions
  10. Integrate and productionalize model results into both cloud and edge compute hardware platforms


  1. 2+ years of work experience in a predictive analytics-focused role
  2. Masters degree in Applied Statistics/Mathematics, Data or Computer Science, or work experience equivalent
  3. Strong knowledge of statistical methods and predictive/analytical modeling techniques and practices
  4. Experience synthesizing and presenting analytics outcomes to senior executives
  5. Experience with data preparation, rationalization, and processing in a cloud environment
  6. Highly proficient with one or more data mining/predictive modeling tools: SQL, Snowflake, R, Python
  7. Highly proficient with one or more data visualization tools: Tableau, Power BI
  8. Practical understanding of mechanical systems and diverse hardware integration methods both a plus

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