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Kforce Inc.

1001 E. Palm Ave.
Tampa, FL, United States

Web Site: www.kforce.com

Company Profile

Statistician/Engineering Analyst


Job ID:



Los Angeles, CA, United States 


Information-Technology, Marketing, Sales

Job Views:


Employment Type:

Full time, Part time, Contract to Hire - W2, Contract - W2



Job Description:

Our client is seeking a Statistician/Engineering Analyst in Los Angeles, CA. 

Very promising start up company in Venice has a need for a Statistician/Engineering Analyst to utilize data in order to drive decision-making. This person will work across the organization to help shape the company's business and technical strategies by processing, analyzing and interpreting huge data sets. As a Statistician/Engineering Analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams, to evaluate and improve products and services. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of measuring data, improving consumer products, and understanding the behavior of end-users, advertisers, and publishers. 

  • Research, develop, and apply methods for measuring and analyzing activity.
  • Develop new algorithms and methods for optimizing product performance, and adoption.
  • Research new ways for modeling end user behavior.
  • Lead investigations into multiple streams of product data.
  • Design experiments to answer targeted questions and conduct exploratory data analysis in high dimensions.
  • Degree in quantitative field such as Statistics, Math, Economics or an MBA and 1+ Years Work Advanced Experience in Related Field/Position including experience with building predictive models and Data Analytics2 years experience in data analysis or related field.
  • Experience with large data sets using statistical software (R, S-Plus, Matlab, or similar) and large databases (SQL).
  • Regression Testing
Preferred qualifications:
  • PhD in quantitative field such as Statistics, Math, Economics 4 years of relevant work experience including analyzing large data sets
  • Considerable practical experience in quantitative analysis.
  • Demonstrated leadership and self-direction.
  • Ability to draw conclusions from data and recommend actions.
  • Demonstrated willingness to both teach others and learn new techniques.
  • Demonstrated leadership and self-direction.
  • Work Experience with Monte Carlo regression testing

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