Sr. Staff Data Scientist

Flex•New York, NY

2d•$194,000 - $240,000•Hybrid

About The Position

As a Sr. Staff Data Scientist reporting to our Director of Analytics, you will play a critical strategic role in shaping Flex's future by guiding key analytics projects across our Product teams. You will champion truth seeking across the business, working to bring clarity to some of Flex’s most challenging and complex areas. Through your technical expertise and mastery of data-led story telling, you improve our understanding of the business and where we can make improvements. The ideal candidate for this role is intensely curious, holds themselves to a high analytical bar, while simultaneously balancing analytical rigor with speed and ultimate business impact.

Requirements

PhD, Masters, or Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.)
8+ years of experience using analytical and statistical methods to support and drive critical business outcomes
Expert communicator who can break down complex technical concepts into simple business vernacular
Experience across a variety of analytical domains that allow you to bring unique perspectives to solving hard problems
Demonstrated success driving business strategy and outcomes from an analytics lens
Advanced experience with SQL, business intelligence tools (e.g., Tableau, Mode, Looker, etc.)
Experience with ETL processes, especially utilizing dbt and Snowflake
Track record of using quantitative, analytical, and problem-solving skills to drive decisions
Biased for action - knows when to not let perfect be the enemy of good enough, while also can effectively highlight the tradeoffs/risks of moving too quickly too soon
Strong ownership mindset with a deep natural curiosity to dive into the details and understand how systems work

Responsibilities

Improve our understanding of key Flex domains by creating scalable frameworks that connect dots across the business into easily interpretable outputs
Proactively and effectively root cause data and performance issues across the business in order to ensure continued strong performance
Create and improve dashboards, visualizations, and automations that help us scale analytics across Flex
Work to establish clear causal links between actions and outcomes through experimentation and other relevant methods, where applicable
Combine data and strategy - being that bridge between what the data is telling us and the implications for strategic priorities within different areas of the business
Champion best practices, precise and consistent terminology, and robust documentation within Analytics and more broadly across the organization