Senior Data Scientist

  • Location

    San Mateo ( SF)

  • Sector:

    Data Science

  • Job type:


  • Salary:

    Circa $150,000- $250,000

  • Contact:

    Jason Rumney

  • Contact email:


  • Startdate:


  • Consultant:

    Jason Rumney

A growing SME who's mission is to make buying a home as easy as booking a vacation and twice as fun are expanding their team.

They are financially-backed and informed by the largest online real estate company in the world, with plenty of growth ahead. Due to growth they are seeking a Lead Data Scientist to join the team.


  • Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions

  • Build predictive models with artificial neural networks and advanced machine learning techniques; interpret and present modeling and analytical results to non-technical audience

  • Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models

  • Conceptualize, analyze and develop actionable recommendations for strategic challenges facing the organization

  • Work with key stakeholders and understand their needs to develop new or improve existing solutions around data and analytics.

  • Remain current on new developments in data analytics, Big Data, predictive analytics, and technology.

  • Work closely with customers, business partners, and application development teams to improve revenue generation by statistical analytics and data mining.

  • Develop warehousing data across multiple platforms and computing environments for better data mining infrastructure

  • Define financial and analytic metrics to measure development and production outcomes and produce performance reports

Key Qualifications:

  • At least five years’ experience in modeling and predictive analytics, using tools like SAS, SPSS or R, and building statistical models

  • Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with TB+ size data sets

  • Experience utilizing both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing) and quantitative analysis techniques (e.g., clustering, regression, pattern recognition, descriptive and inferential statistics)

  • Excellent communication skills, communicating with diverse teams including data scientists, engineers, product managers, and executive management. Able to explain technical terms to colleagues who have no analytical background

  • Provide a unique blend of skills that unlock the insights of data and tell a fantastic story through the data, with a passion for problem-solving, comfort with ambiguity, and creativity

  • Ability to thrive in a dynamic and fast-paced environment and drive change, and collaborate effectively with a variety of individuals and organizations

  • Specific experience in building online personalization and recommendation engines is a plus

  • MS or PhD degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research, machine learning, or related field) from a leading academic institution