Data Science Manager – Alpha Insights

Location: New York, New York, United States

Ref#: POS-11423

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Two Sigma is a different kind of investment manager. Since 2001, we have used data science and technology to derive insights that forecast the future and discover value in markets worldwide. Our team of scientists, technologists and academics looks beyond traditional finance to understand the bigger picture and develop creative solutions to some of the world’s most challenging economic problems. Our work spans across markets and industries, from insurance and securities to private investments and new ventures.

The Alpha Insights team at Two Sigma is looking for an entrepreneurial data scientist to evolve its data-driven investment initiatives.  Alpha Insights crowdsources the world’s investment insights and through such data creation we are an integral part of Two Sigma investment management process.  We interact with people external to the firm to collect and analyze their investment insights through our web and mobile products.

Data science in Alpha Insights has 3 overarching goals: (1) make relevant data and metrics accessible to the team (2) perform analyses to guide strategic business and product decisions and (3) build data-driven features that power our products.

You will take on the following responsibilities:

  • As lead of our data science team, define our data science platform and practice
  • Apply statistical analysis and exploratory techniques to enable data-driven decision making
  • Deliver metrics, analyses, and visualizations to all functions within Alpha Insights including product, design, and business units
  • Own data-driven product components (e.g. ranking and recommendation algorithms)
  • Hire and enable a team of highly creative and motivated data scientists to further scale our efforts

You should possess the following qualifications:

  • 4+ years of experience in data science or similar role with demonstrated project and/or personnel management experience
  • MS or PhD in Computer Science, Statistics, Economics or related, quantitative field
  • Experience applying statistical methods (distribution analysis, classification, regression, clustering, etc.). Application of these methods to user behavior a plus
  • Demonstrated experience highlighting innovation, creativity, and intuition, e.g. the ability to laterally identify other sources of useful information and think 'outside the box'
  • Strong data transformation skills (e.g. using Pandas, R,)
  • Software engineering skills in at least one imperative programming language
  • Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data to members of management, engineering, product, and business teams
  • Experience hiring, managing, and leading teams
  • Prior experience in finance is not required

You will enjoy the following benefits:

  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, 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, sick days, and 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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