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Kforce Technology

Senior Director of Data Science / Analytics

Post Date:Nov 08, 2018Type:Full-Time
Start Date:11/8/2018Salary:
Location:US-AZ-Phoenix Job Reference:ITWQG1769767


  • BS degree or MS degree in Data Science and/or Analytics or similar field

  • Experience growing, leading and mentoring a team of Data Scientist/Analytics is highly desired

  • Experience with analysis, mathematical frameworks, or logical solutions

  • Experience leading a team through the design and programming of quantitative models

  • Prior experience hiring and managing in the analytical space

  • Experience with statistical programming languages such as R, SAS, Python or SPSS will be considered

  • Experience with databases and query-based languages (i.e. SQL)

  • Experience with Excel and VBA

  • A true passion for problem solving and applying statistics, finance and logic to a wide array of problems

  • Experience with advanced mathematics/statistics (regression, data mining, probability, calculus)

  • Experience with financial theory and quantitative finance

  • Excellent communication skills, both verbal and written

  • Ability to effectively collaborate across the organization

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job Description:


Kforce has a client in search of a Senior Director of Data Science/Analytics in Phoenix, Arizona (AZ).

The Senior Director of Data Science/Analytics will lead the quantitative initiatives of the company, manage and develop a team of analysts whilst growing and nurturing the culture of data science across the organization. The data science team is designed to drive business insights and decisions through advanced analytics. This includes identifying, designing and building often complex solutions to interesting, unique problems. The team must collaborate very closely with all other analytical teams, senior leaders of various departments, IT and the BI department. A successful Director of Data Science utilizes a tool set consisting of: logic, problem solving, mathematics, finance, statistics and programming.

Projects may include, but are not limited to:
  • Assessing customer risk by building proprietary credit scoring models

  • Identifying the impact to customer risk of equipment selection, financing options and underwriting

  • Building probabilistic cash flow models given customer risk

  • Optimizing their loan servicing strategy

  • Building a model to value an unseen vehicle to place an online bid at auction or accept a trade in

  • Utilizing click stream data from the website to generate a model that calculates the similarity of any two vehicles and building a recommendation engine for consumers

  • Designing various A/B experiments, analyzing results and making long-term decisions that will improve the product we are offering to our customers

  • Grow, lead and mentor a dynamic, fast paced team that analyzes all aspects of the business

  • Identify areas for analysis, mathematical frameworks, or logical solutions

  • Lead a team through the design and programming of quantitative models

  • Boundary span across the organization to build relationships and offer help where needed

Contact Information
Kforce Technology

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