Data Scientist - Campus Full-Time

About the role

Position Summary

Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.

Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and 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

Degree in a technical or quantitative discipline, like chemistry, computer science, economics, statistics, or quantitative social science with an applied empirical focus (all levels welcome, from bachelor’s to doctorate)

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.

We are particularly enthusiastic about people who bring a quantitative and data-driven mindset to nontraditional and difficult-to-quantify problems.

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 $225,000. 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.