Principal Founder

    42
    • Cofounder Partner Executive
    • San Jose, CA

    Website US US

    Chief Data Science Engineer - Start-up Partner

    We are an early stage incubation of an enterprise AI product. We are an enterprise portfolio management play where we help companies mitigate their projects portfolio risks.  With nearly 50%-70% of initiatives falling short on delivering on promised goals and metrics, the underlying root causes are many.  The platform enables profiling of individual contributors and data assets in the lifecycle and provide actionable intelligence.

     

    Your immediate goal is to develop a working model for early stage funding. This is an equity-based role and can negotiate alternate arrangements.   

    As partner in start-up, you will have a golden opportunity to chart an industry pathway and be a pivotal co-founding member. 

     

    Key skills

    Bachelor’s Degree with equivalent experience in any quantitative discipline such as Statistics, Mathematics, Economics, Computer Science, Operational Research, or a related quantitative field
    5+ years of experience working in Analytics / Business Intelligence environment
    5+ years professional experience in modeling and statistical analysis of large data sets
    Solid experience in working with databases and SQL in a business environment
    Solid experience in analytical packages and query languages such as SAS, SPSS and SQL
    Solid experience in design and execution of analytical projects
    Working in large scale databases and data warehouses is a big plus
    Track record of developing and implementing models using programming and scripting (Java, Python, R, Matlab)
     

    Ideal candidate:

    In addition to above, advanced degree in above disciplines with hands-on mindset to build from the ground-up

    1.     Deploy the appropriate algorithms to discover patterns of risks

    Experience/knowledge of advanced machine learning techniques
    3.     Design experiments, test hypotheses, and build actionable models

    4.     Build predictive models to forecast risks for product launches and operations

    Experience in statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering, etc.
    Use of data visualization technologies: Tableau…
    Collaborative Entrepreneur mind-set
     

    Seniority Level: co-founding Partner

     

    Local candidates only please

     

    About: founder is a 2-time successful entrepreneur with prior leadership role in High Tech & Manufacturing

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