Location: New York, New York, United States
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Data Scientist – Two Sigma Private Investments
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:
You should possess the following qualifications:
You will enjoy the following benefits:
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.