
Data Scientist
at Two Sigma
Posted 7 days ago
0 views
This role at Two Sigma involves leading data science tasks, including independent research, methodology development, and collaboration with engineers and stakeholders. The position emphasizes creativity, academic engagement, and continuous learning through seminars, reading circles, and technical training.
- Compensation
- $165,000 – $300,000 USD
- City
- New York
- Country
- Not specified
Currency: $ (USD)
Full Job Description
You will take on the following responsibilities:
- Independently research and develop hypotheses based on diverse and unique real-world datasets.
- Conduct literature reviews to develop and apply cutting-edge methodologies for extracting meaningful signals from our vast data holdings.
- Partner with our engineers and business stakeholders to rigorously explore and test your theories.
- All the while, you’ll remain engaged in the academic community.
- Join our reading circles to stay up to date on the latest research papers in your fields
- Attend academic seminars to learn from thought leaders from top universities
You should possess the following qualifications:
- 1-5+ years of experience in applied data analysis & prediction, preferably in an industry setting
- Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science
- Proficient in Python and SQL
- Performed an in-depth research project, examining real-world data
- Are an independent thinker who can creatively approach data analysis and communicate complex ideas clearly
- You don’t need a background in finance. It’s nice to have, but more than half of Two Sigma’s employees come from outside the finance industry. If you’ve got the research skills, we can teach you the financial aspects of the job.
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
- Hybrid Work Policy: Flexible in-office days with budget for home office setup
