Data Scientist II

Responsibilities

1. Working closely with a variety of teams including senior leadership, product management, software engineers, design, User Research to understand the key business questions for customer-facing scenarios.
2. Identify instrumentation needs, define and set up metrics and OKRs, deeply analyze the data to identify insights and experiment ideas that move our business metrics.
3. Design and execute on Growth Experiments, analyze results to identify key insights.
4. Help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, and hypotheses and insights to drive growth.

Qualifications

Required Qualifications:

1. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
2. OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical)
3. OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical)
4. OR equivalent experience.
5. 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.

Preferred Qualifications:

1. Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.
2. Experience with Experiment Design and analysis.
3. Demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress.