Responsibilities
As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs.
Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics.
We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved.
Qualifications
Required Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years 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.
- 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts.
- 10+ years of experience as a practicing Data Scientist.
- Exceptional teamwork and values that foster a positive team culture.
- Experience in collaborating with teams across different time zones and geographies.
- Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.
- Experience with Experiment Design and analysis.
- Experience in one or more programming languages, preferably C#, Python or Java.
- Experience in mentoring less experienced data engineers and helping to set a positive team culture.
- Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills.
- Excellent oral and written communication skills and ability to "tell compelling stories" through data.
Preferred Qualifications
- Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL.
- A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress.