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Data Scientist Lead

  • Location

    San Francisco

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Salary:

    Circa $200,000

  • Contact:

    Amelia Jones

  • Contact email:

    amelia@intelletec.com

  • Job ref:

    AJ2

  • Startdate:

    ASAP

Data Scientist Lead

San Francisco 

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

Seeking a Data Science Lead 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).

  • Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including LTV measurement and optimizing CAC.

  • 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

  • Maintain standards for tracking and measurement

  • 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 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

Compensation: 

Includes competitive salary, company stock options and health benefits.

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!