JobDescription

This data scientist position is a highly-autonomous, product-focused role designed to create value and drive impact across the Product organization, while also influencing the evolution and strategic direction of our company as a whole. The role is cross-functional by nature and is responsible for developing data products and analytics, defining methodologies, conducting research and analyses on a variety of subject areas, and driving bottom-line growth through building operational efficiencies and leading special projects for our clients. The ideal candidate is an seasoned data scientist (e.g. quantitative analyst) with diversified experiences across several industries, who's held various positions within analytics or engineering functions. Since a major requirement for this role is to understand, author, and deploy production code, the ideal candidate should also be experienced with processing large quantities of data, building algorithms alongside software engineers, and foundationally rooted in applied statistics.

Responsibilities

• Identify new opportunities to build and/or improve new product features and data products
• Partner with Product, Data, and Engineering teams to identify, investigate and deliver solutions related to product and back-end data issues
• Deliver complex projects involving heavy data and statistical modeling (e.g. sampling, segmentation, classification, predictive modeling, etc.)
• Lead the discovery and development of new and existing methodologies and algorithms
• Regularly communicate outcomes, new initiatives and improvements, etc. to stakeholders
• Provide data science consulting and support to both internal and external clients

Skills & Requirements

• BS in Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science
• 3+ years of industry experience as a data scientist (or equivalent role). For data science boot camp graduates, 2+ years of experience as a data scientist post-graduation
• Experience with defining key product metrics, setting team goals, and building internal tools to monitor progress against KPI's
• Solid proficiency in Python and/or R, SQL, Spreadsheets
• Solid understanding and experience with applied statistics across various data types and sizes
• Experience with communicating complex analyses and methodologies effectively to non-technical stakeholders
• Outstanding written/oral communication, consulting and analytical/problem solving skills
• Highly autonomous, versatile, intellectually curious and resilient within a dynamic and fast-paced organization