Principal Data Scientist

Role Description

We are hiring a Principal Data Scientist with deep expertise in machine learning, AI and a track record of developing production ML/AI solutions that are business impactful. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program management to deploy business solutions for clients in the financial sector.

Key Responsibilities

• Apply behavioral game theory and social science understanding to get quality work out of crowd workers from around the world
• Develop deep understanding of business metrics such as daily active users, query share, click share and query volume across all the relevant entry points
• Influence the product and business direction through metrics analyses
• Define and build systems and policies to ensure quality, stable, and performant code
• Lead a team through analysis, design and code review that guarantee analysis and code quality and allow more junior members to learn and grow their expertise while helping the team build an inclusive interdisciplinary culture where everyone can do their best work
• Make independent decisions for the team and handle difficult tradeoffs
• Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders
• Persistently partner effectively with program management, engineers, finance, marketing, exec management, and other areas of the business

Qualifications/Skills

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 6+ years of experience coding in Python, C++, C#, C or Java.
• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.
• Organizational, analytical, data science skills and intuition.
• Problem solver: ability to solve problems that the world has not solved before
• Interpersonal skills: cross-group and cross-culture collaboration.
• Experience with real world system building and data collection, including design, coding and evaluation.