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Principal Data Scientist

  • Location

    San Francisco

  • Sector:

    Data Science

  • Contact:

    Jason Rumney

  • Contact email:

    jason@intelletec.com

  • Job ref:

    AAJR0384840

  • Duration:

    ASAP

  • Startdate:

    ASAP

  • Consultant:

    Jason Rumney

Our client is a leading Health company who are seeking a Principal Data Scientist to there Data Scient team based in San Francisco.

Your role as a Principal Data Scientist will as the analytic team lead for highly complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives.

The role:

  • Leading development and execution of new and/or highly complex algorithms and statistical predictive models and determines analytical approaches and modelling techniques to evaluate scenarios and potential future outcomes.

  • Establishing analytical rigour and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses.

  • Managing highly complex analytical projects from data exploration, model building, performance evaluation and testing.

  • Applying in-depth knowledge of systems and products to consult and advise on additional efforts across organization/enterprise.

  • Motivating team members and probes into technical details, and mentors’ others to do the same.

Skills:

  • 10 or more years of progressively complex related experience.

  • Demonstrates advanced in-depth specialization in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling.

  • Comprehensive knowledge on health care industry, products, systems, business strategies and products.

  • Expertise in innovating and implementing novel machine learning techniques.

  • Expertise in advanced analytics tools and languages to analyze large data sets from multiple data sources.

  • Superior skills to effectively communicate and negotiate across the business and in the external health care environment.

  • Superior ability to communicate technical ideas and results to non-technical clients in written and verbal form.

  • Strong organizational, management and leadership skills.

 

Preferred Skills:

  • Excellent analytical and problem-solving skills.

  • Bachelor's degree in quantitative field required

  • MS preferred