Team Lead Data Scientist New

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About the Role

We are looking for a Team Lead Data Scientist to lead strategic research initiatives focusing on our Personal Loans asset class. This Manager will be at the forefront of Pagaya’s research, working hands-on to advance our models while also managing the team and collaborating with data scientists across the department.

Responsibilities

Spearhead strategic research of new cutting edge Machine Learning models
Lead data scientists in the Personal loans research tea
Design solutions for the company’s core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory

Requirements

3+ years of experience as Team Lead Data Scientist
5+ years of experience in Data Scientist, working with tabular data on predictive modeling
Experience in methodological leadership, mentoring
Track record of translating research into business impact
PhD or B.A a related field- Math/EE/CS/Physics/Stats
Great interpersonal skills, and strong collaborator
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Proficient in Python and the Data Science Stack
Independent and fast learner that can work alone and in teams
Ability to learn and explore new fields of expertise
Knowledge in some of the following can be an advantage: optimization, risk and finance

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

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