Data Science Manager - Two Sigma Insurance Quantified

New York, New York, United States

Ref#: POS-13722

Share with: Facebook Twitter Send to a friend

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.

Two Sigma IQ works closely with its industry partners to deliver products and solutions, which lead to enhanced automation and data-driven decision making.  Comprised of a diversified and growing team of highly skilled data scientists, engineers, and business professionals, Two Sigma IQ possesses the agility and innovation of a dynamic startup with the resources and long-term view of Two Sigma. Learn more about TSIQ at

You will take on the following responsibilities:
  • Apply state of the art computer vision and NLP techniques to extract data from unstructured sources
  • Perform exploratory data analysis and develop predictive models (regression, classification, clustering) on terabyte sized structured and unstructured datasets
  • Generate statistical models for a variety of phenomena
  • Interact with industry professionals to understand their business and propose technical/statistical approaches
  • Partner with external clients, delivering models / product updates, and leading discussions with the use of data 
  • Stay on top of the latest research and developments in the fields of Machine Learning and Artificial Intelligence
  • Manage and motivate a team of Data Scientists

You should possess the following qualifications:
  • A strong academic record with at least one degree in a technical discipline
  • Solid knowledge of Computer Science and Statistics
  • 7+ years of experience in one of the following domains: Machine Learning applied to Document Understanding, Computer Vision, or Natural Language Processing. Experience in applied computer vision a plus
  • Experience with data analysis tools (R, numpy/pandas/scikit-learn) and SQL
  • Advanced programming skills in Python
  • Prior experience working in a growth-minded SaaS-based company
  • Experience producing research reports and predictive models
  • Strong communication skills, both written and verbal
  • Interest in working in a fast-paced and dynamic environment

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.
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup. 

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.