Data Scientist: Data Clinic

New York, New York, United States

Ref#: POS-13902

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Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital. Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.

Data Clinic is a unique business unit within Two Sigma that brings together our people, data science skills, and technological know-how to provide pro bono support to nonprofits in their effort to use data more effectively. To address our partners’ particular challenges, we share our expertise, teach our way of thinking, and source the right talent from among employees. We believe rigorous data analysis and engineering can help nonprofits in many ways and our work enables them to focus on what they do best – strengthening the communities they serve.

As a Data Clinic Data Scientist for Social Good, you will join the core team and work with our Two Sigma volunteers to enhance our social impact work by contributing to our partner and open source efforts. This will require scoping technical requirements for projects and translating them into an executable plan including resource needs and timeline. You will help select the appropriate methodological approach for each project with an emphasis on realistic maintainability, scalability, and long-term use by our clients. Key to the success of our mission is that we work to build with, and not for, our partners, which necessitates effective communication, collaboration, and code development in a user-centered environment.  

You will take on the following responsibilities:

  • Act as technical data science lead on 8-10 Data Clinic projects a year, supporting the core team and volunteers as needed. 
  • Apply statistical analysis & modeling techniques to a range of different datasets on research topics across a variety of subjects/domains.
  • Interact with partner organizations to understand their data science needs and research hypotheses, how these affect the communities they support, and how best to build responsible and sustainable solutions.
  • Contribute content (blog posts, case studies, academic papers, presentations, etc.) for projects and present both internally and externally at conferences.
  • Help to develop internal engagement and training activities (e.g., project deep dives, hack days, and data science training).
You should possess the following qualifications:

  • A demonstrated passion for using data to solve hard, impactful problems.
  • 4+ years of relevant job experience conducting research or analysis for civic and social impact-based solutions.
  • Experience applying statistical analysis to multiple domains.
  • Proficiency with statistics and data analysis tools.
  • Competency with Python (nice but not necessary: competency with R).
  • Experience creating and leading complex technical presentations.
  • Experience implementing and adapting machine learning and statistical models in a production environment.
  • Familiarity building applications that work with geospatial data (i.e., PostGIS, Mapbox GL, OpenLayers).

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.