Data Scientist, Two Sigma Private Investments

Location: New York, New York, United States

Ref#: POS-11457

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Sightway Capital is a Two Sigma company focused on private equity investments. We employ a principal mindset and flexible capital approach to building successful business platforms with experienced operators and strategic partners. The team at Sightway Capital thinks long-term, targeting business opportunities that we believe afford both asymmetric risk rewards and enterprise value creation over time. Sightway’s unique platform building approach affords team members the opportunity to participate in each investment’s growth and success from an early stage. Data science is key to Sightway’s strategy, and we aim to leverage Two Sigma’s expertise, data sources and analytical models in order to make informed investment decisions, and create enterprise value and positive outcomes for our portfolio companies.

Sightway Capital is building a world class data science team in order to execute on this vision. The team has a multifaceted data driven private investment strategy that encompasses private equity deal sourcing, due diligence, and portfolio company value creation. This role includes working with business analysts to gather business needs and requirements from our portfolio companies; forming creative data driven hypotheses to solve these needs; using a range of statistical and machine learning methods using a range of different data sources in order to build models that prove or disprove these hypotheses; communicate findings to management and work with software engineers to craft solutions based on the models you build.

You will take on the following responsibilities:
  • Design and implement models that explore, predict, and optimize a range of key business drivers such as lead generation, customer risk, revenue, pricing
  • Work with business analysts to extract business needs from portfolio company management teams
  • Perform data exploration and visualization in order to uncover insights from data
  • Brainstorm hypotheses to solve business needs
  • Work with Data Strategy team to source and on-board new data sets and portfolio company technical teams to on-board company data
  • Build models using a range of analytical techniques  in order to prove or disprove hypotheses
  • Prepare and present findings to TSPI management, portfolio executive team
  • Work with software engineers to engineer tools that use production models to deliver impact for the portfolio company
You should possess the following qualifications:
  • 1-5+ years of experience in applied data analysis & prediction, preferably in an industry setting
  • Experience solving business problems using data science by directly interfacing with a client’s management team would be ideal
  • Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science
  • Demonstrably strong data science modeling intuition and feature engineering creativity
  • Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
  • Experience specifying & managing requirements for datasets leveraged in your analyses
  • 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
You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance 
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
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