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Position Summary Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry ...

Fulltime Data Science Ai

$401k* · Senior Fully remote

Position Summary Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry ...

Internship Data Science Ai Fulltime

Fully remote

Selected role

Data Scientist

Two Sigma New York, United States

Live

$401k · Senior Full-time Posted about 13 hours ago 3 min read

Position Summary

Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, 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.

When you work with us, you tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you’ll be doing work that matters to a lot of people, too. Our investors include some of the world’s largest retirement funds, research institutions, educational endowments, healthcare systems and foundations. We admire what they do, and we’re proud to serve these organizations.

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. As examples, you can:
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

The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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.

Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.

If you believe you need an accommodation, please visit our website for additional information.

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