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Lead Data Scientist

  • Location

    San Francisco

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    Circa $190,000

  • Contact:

    Amelia Jones

  • Contact email:

    amelia@intelletec.com

  • Job ref:

    AJ2

  • Startdate:

    ASAP

  • Consultant:

    Amelia Jones

Lead Data Scientist

San Francisco 

We have partnered with an ambitious startup who are building the future of television. 

Seeking a Lead Data Scientist with experience in leading data-driven product development and comprehensive business analytics.

The ideal candidate will have competence with statistical modeling and independently developing data-driven insights in the face of ambiguity. Experience using Machine Learning to build data-driven product features is a strong bonus.

Responsibilities:

  • Collaborate with the product and engineering teams to design, execute and analyze experiments to improve the product, user experience, and signup conversion rates.

  • Collaborate with the engineering team on data pipeline to support advanced analysis of customer acquisition and retention efforts (influenced by product features and marketing activity).

  • Create and own predictive models for key business and customer performance metrics.

  • Design, build and maintain automated dashboards that connect data from internal and external data sources to support reporting, data discovery and statistical analysis that inform product priorities and marketing decisions

  • Deliver quick insights on ad hoc projects and analyses as necessary

Skills:

  • Passionately analytical and innately curious creative thinker

  • Solid technical database knowledge and experience optimizing SQL queries on large data sets

  • Experience with A/B testing and analysis

  • Experience with advanced statistical methods

  • Excellent presentation and communication skills, particularly the ability to explain and present analytical methodology and results to non-technical audiences

  • Hands-on experience with statistical tools (e.g. SAS, R, Python)

  • 3-5+ years of experience in business and data analytics after graduation

  • BS or MS degree in Statistics, Math, Data Science, CS or related discipline

Nice-to-have:

  • Hands-on experience with BI and visualization tools (e.g. Tableau, Periscope, Domo)

  • Programming skills, in particular, experience with statistical libraries in python

  • Machine Learning and Deep Learning experience

What's on offer: 

  • Competitive salary, company stock options, and health benefits
  • Full health, dental and vision coverage for you and your family
  • Flexible working hours
  • Generous paid parental leave
  • Unlimited paid time off for vacation and sick leave
  • $2000 annual vacation bonus (we pay you to take a two-week vacation)
  • $5000 annually for professional development and educational assistance
  • $500 “TV stipend” for new employees to upgrade their home watching setup
  • Dog-friendly office
  • And much more!