Product Data Scientist
$85k - $100kBest Egg
Best Egg, now part of Barclays, is a market-leading, tech-enabled financial platform helping people build financial confidence through innovative lending solutions and financial health tools. As a Barclays company, we combine the agility and customer focus of a fintech with the global reach, stability, and purpose of a leading financial institution-working together to create a better financial future for our customers and communities.
At Best Egg, you'll find a culture grounded in our core values-putting people first, creating clarity, delivering with excellence -enhanced by Barclays' commitment to integrity, inclusion, and long-term impact. Together, we empower our colleagues to challenge, innovate, and take ownership while making a meaningful difference in people's financial lives. With the strength of Barclays behind us, we offer expanded opportunities for growth, development, and career mobility across a global organization-while continuing to build the products and experiences that make Best Egg unique. We're looking for collaborative, curious problem-solvers who are excited to make an impact and grow with us. We're proud to be an equal opportunity employer committed to building a diverse and inclusive team. We are seeking a Product Data Scientist who can identify business problems, translate insights into actionable recommendations, develop AI/ML stack solutions, drive test/learn plans, present recommendations, and independently deploy these solutions into production. The ideal candidate has a high sense of urgency, a creative mind, great communication skills, and a strong background in ML and analytics. Responsibilities- Improve funnel efficiency and drive business KPI by partnering with the Product team to optimize the application processes
- Develop and automate reporting and monitoring around funnel performance metrics leveraging SQL and Python
- Partner with various business units to develop AI/ML solutions aimed at optimizing and automating business tasks relating to application, applicants' verification and/or operational strategies
- Assess the capabilities and values of 3rd party vendors.
- Contribute to a culture focused on continuous learning and celebrate frequent wins, while providing valuable insights
- Bachelor's degree in Statistics, Mathematics, Operational Research, Computer Science/Engineering, Data Science or other quantitative major. Masters or PhD is preferred
- 3+ years' experience analyzing data and delivering business insights
- 1+ years' experience in AI development and deployment
- Strong Python and SQL skills are required
- Ability to work independently as well as in a team
- Excellent written and verbal communication skills; Ability to translate quantitative concepts to a non-technical audience.
- Supporting the product managers in business value sizing and prioritization for new Shop tickets
- Working closely with the software engineers and data engineers to understand the new tech process and build out the data requirements for use in reporting
- Supporting the pod's key metrics through advanced analysis into customer pain points into the funnel (e.g. improving KCF application submit rate)
- Building out reports for test launches
Vacancy posted 2 days ago
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