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Sr. Data Scientist

Post Date:Jun 12, 2019Type:Contract to Hire
Start Date:6/12/2019Salary:
Location:US-KS-Overland Park Job Reference:7429


A Master’s Degree or PhD from a Statistic, Mathematics, Computer Science, Computational Social Science, or Operations Research program.

Solid background in the fundamentals of machine learning and statistical modeling.

Experience conducting analysis and writing analytic code in R or Python, or similar analysis and modeling tools.

Experience merging and analyzing large, diverse data sources.

Proficiency with SQL and comfortable working in a Unix/Linux environment.

Experience building production-level machine learning and predictive analytics models along with data pipelines.

Experience creating data visualizations in Tableau.

Ability to explain complex technical material to non-technical audiences.

Job Description:


Deliver analytic solutions across a wide variety of client applications.

Build inferential and predictive models including machine learning algorithms and AI.

Process, integrate, and manipulate big data with distributed systems and customer data pipelines.

Synthesize results and translate findings into compelling stories that resonate with business owners.

Apply machine learning and statistical modeling to large datasets to develop business insights.

Lead the implementation of business solutions, based on modeling and those machine learning results.

Work with Senior Management and business analysts to identify strategic opportunities for data analytics’ impact.

Work with Data Engineering and IT to productionize the machine learning solutions.

Create compelling data visualizations to support conclusions and provide recommendations.

Communicate recommendations effectively to Senior Management.

This is a 6-month Contract-to-Hire opportunity with our Overland Park, KS client.  100% Paid employee Medical/Dental Benefits, Paid time off, Paid Holidays and 401(k) (with immediately-vested company match) available with TriCom during the contract period.  H1-B Visa sponsorship is not available for this position.  No third-parties, please.

Contact Information

Name: Tamra Heinsch
Ph: 612-310-0344

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