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Data Science Team Leader

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Pagaya

2021-12-03 08:58:13

Job location Boston, Massachusetts, United States

Job type: fulltime

Job industry: Banking & Financial Services

Job description

About Pagaya

Shape the Future of Finance

Pagaya is building a leading artificial intelligence network to help our partners grow their businesses and better serve their customers.

Pagaya powers a leading artificial intelligence network that enables banks, fintechs, merchants, lenders, and other B2C businesses to provide their customers with greater access to financial services. We help partners grow their customer base while managing risk, all with a seamless customer experience.

Pagaya's network enables our partners' customers access to credit across Auto, Credit Card, Personal loans, and Point of Sale markets. We are also developing products in insurance, real estate, and more. Our network is fully automated and operating at scale - with the support of the Pagaya network, our partners have processed millions of applications, with a new application typically analyzed every second.

Let's create better outcomes together!

The Role

We're looking for a Data Science Team Leader to join our new research team. We're looking for a technical leader who can direct data science projects, delegate tasks in order to manage team workloads and mentor junior researchers/scientists on the team. This role will also manage internal stakeholders by presenting insights and recommendations to business leaders in order to explain the benefits and impacts of the recommended solutions. As part of a Global Research department, you will also work closely with counterparts, seniors, and technical leadership in Israel and the U.S.

Key Responsibilities

  • Lead and develop a group of 4-5 Data Scientists, helping them advance their careers
  • Working side-by-side with managers from various disciplines on the day to day - Software Developers, Machine Learning Engineers and Data Analysts
  • Design solutions for the company's core mission using Data Science methodologies from various domains
  • Responsible for developing new cutting edge algorithms based on various Machine Learning techniques
  • Generate and test working hypotheses in unexplored territory

Job Requirements

  • Prior experience building and/or leading data science or tangential teams
  • 4+ years of experience with Algorithm Research, Data Science, Machine Learning
  • Scientific Degree graduate with an honored BSc or MSc
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Proficient in Python and the Data Science Stack.
  • Knowledge in some of the following can be an advantage: machine learning, predictive modeling, 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.

  • Continuous Learning: It's okay to not know something yet, but have the desire to grow and improve.
  • Win for all: We exist to make sure all participants in the system win, which in turn helps Pagaya win.
  • Debate and commit: Share openly, question respectfully, and once a decision is made, commit to it fully.
  • The Pagaya way: Break systems down to their most foundational element, and rebuild them unique to Pagaya.

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.

Inform a friend!

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