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Lead Data Scientist

Kforce Technology

This is a Full-time position in Riverton, UT posted March 5, 2021.

RESPONSIBILITIES:

Kforce has a client that is seeking a Lead Data Scientist in South Jordan, UT. Data team: We are looking for highly talented team members who are passionate about data, have the rigor needed to solve billion-dollar problems, and possess an innate entrepreneurial spirit to explore the uncharted. This team combines the engineering backbone of a best-in-class big data platform with the analytic expertise of advanced mining and predictive modeling. If you want to work among the very best talent in the industry, working on the most innovative products in the world. Responsibilities:

  • Domain Expert: It is essential that this role has the capability to understand business function and its nuances, and define proper KPIs to measure health & success of the business
  • Data Owners: The person in this role will be the data champion for a specific business function, and the single point-of-contact for internal & external teams on questions related to their business unit’s datasets
  • Ad-hoc analysis & reporting: Create analysis/reports to do diagnostic analysis and provide recommendation to stakeholders
  • Actionable Insights: Develop strategies and provide direction for the application of our BI/Dashboarding tool, and build robust KPI’s and drill-down capabilities to enable discovery of actionable insights
  • Expand Data first approach: Work across different business functions (Customer Care, Product Marketing, Ecommerce, etc.) to pilot data products and ensure data insights are central to business decision making
  • Build Data Science Products: Collaborate with data science, data engineering and business team to build innovative data products

Job Requirements:

REQUIREMENTS:

  • Bachelor’s degree in a quantitative field (e.g., Mathematics, Operations Research, Statistics, Business Analytics, Economics)
  • Graduate degree in Mathematics, Information Systems, Statistics, Business Analytics, or related STEM fields preferred
  • 3 or more years of professional experience in customer analytics, marketing analytics, operational analytics, or related field in a quantitative role
  • Multiple years of experience manipulating and analyzing large data sets, monitoring, and predicting trends and identifying opportunities through the interpretation of financial, behavioral, demographic, and operational data
  • Direct experience with using customer data in e-Commerce, consumer goods, technology would be preferred
  • Possess excellent interpersonal communication and problem-solving skills, with the ability to collaborate with senior business leaders and provide strategic recommendations
  • Demonstrated ability working with multiple teams to complete critical achievements under pressure with tight deadlines
  • Ability interpret/translate business requests into clear and actionable technical requirements for meaningful analysis
  • Succinct, proactive communication; Storytelling using data
  • Comfortable to work with people from a broad range of backgrounds from highly technical to marketing to sales/business
  • Very strong analytical skills
  • Strong in SQL Skills (PostgreSQL, Redshift, MySQL, etc.)
  • Experience building reports & dashboard in BI tools like Domo, Tableau, Looker, Grow, PowerBI, etc.
  • Experience modeling with R or Python
  • Understanding of machine learning algorithms preferred

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.

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