Senior Data Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Techniques, Modeling, Forecasting, Machine Learning, Customer Engagement, Interpersonal Skills, Problem Solving, Analytical Skills, Communication Skills, Project Delivery, Data Collection, System Building, Organizational Skills, Cross-Cultural Collaboration, Technical Decision Making

Industry

Software Development

Description

Define, invent and deliver metrics which accurately measure user and business value across various products and ads marketplace components. Design, create and implement models and systems to forecast and explain outcomes from marketplace changes. Interpret the results of modeling/analytics/interventions, validate approaches, and iterate to continuously improve customer and business outcomes. Partner effectively with product management, engineers, and other areas of the business across our consumer online business. Engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements. Make independent decisions for the team and handle difficult tradeoffs in both technical and business scenarios involving multiple stakeholders. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 1+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Doctorate 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 techniques and reporting results) OR Master's Degree 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 Bachelor'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 equivalent experience. Experience with time series modeling, forecasting and explaining business metrics Experience with productionizing and maintaining ML models and systems Organizational, analytical, data science skills and intuition. Problem solver: ability to solve hard technical and customer problems. Interpersonal skills: cross-group and cross-culture collaboration. Experience with real world system building and data collection, including design, coding and evaluation . Excellent communication skills.

Responsibilities

Define and deliver metrics to measure user and business value across products. Partner with various stakeholders to produce actionable insights that influence product and service improvements.