Data Science Manager

Two Sigma Investments   •  

New York, NY

Industry: Accounting, Finance & Insurance


5 - 7 years

Posted 175 days ago

This job is no longer available.

Two Sigma's data engineering platform enables us to harness some of the world's most complex & challenging content, as we structure and integrate new datasets into a diverse ecosystem of syndicated financial and industry-specific data products. Two Sigma's data scientists are focused on joining, enriching, and transforming datasets into novel creative measures of economic activity. We utilize a variety of modeling techniques to generate financially-relevant predictions feeding into Two Sigma's systematic investment management platform, we measure the performance and impact of our predictions in a variety of settings, and we further distill economic insights and thematic analyses from our data & observations.

Lead Data Scientist Responsibilities:

  • Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors.
  • Contribute to the design of investing strategies on economic predictions through multiple investing paradigms.
  • Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds.
  • Contribute to data sourcing strategy across multiple industry data verticals supporting our prediction efforts.
  • Hire and enable a team of highly creative & motivated data scientists to further scale our efforts.
  • Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes.

Qualifications and Experience:

  • 5-7+ years of experience in applied data analysis & prediction, preferably in an industry setting
  • Demonstrably strong data science modeling intuition and feature engineering creativity
  • Expertise in applying statistical techniques for time-series measurement/estimation and prediction
  • Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
  • Experience leading product management for datasets leveraged in your analyses
  • Proven track record in building a team of data scientists and data domain experts.
  • Working knowledge of SQL and common data science toolkits : Python, R, Spark, Matlab
  • Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data
  • A portfolio of open-data analyses or data-driven research publications would be ideal.