Principal Data Science Manager 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

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistics, Analytics, Business Intelligence, Data-Driven Business Strategy, People Management, Product Analytics, Web Analytics, Content Analytics, Interpersonal Communication, Stakeholder Management, Big Data Processing, PySpark, Scala, A/B Testing, Business Modeling

Industry

Software Development

Description

Work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business. Lead a team of data scientists and empower them to do their best work. Collaborate with cross-functional teams to understand features, estimate impacts and drive the engagement improvements based on insights from big data. Enhance products by evaluating performance metrics and user feedback. Develop self-service dashboards and reports for various stakeholders using reporting platforms. Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems. Build metrics system to measure Business Health and quickly identify the root cause when metrics moves. Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI. Design and conduct A/B tests to evaluate algorithm performance and proposing iterative improvements based on the results. Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making. 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 experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy. 3+ years people-management experience. Previous product analytics, web analytics and or content analytics experience. Interpersonal communication and ability to leverage the data to tell a story. Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights. Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala). Knowledge of Content ecosystem, Ads and online shopping metrics.

Responsibilities

Lead a team of data scientists and collaborate with cross-functional teams to drive engagement improvements based on insights from big data. Analyze large datasets to identify patterns and trends, enhance products, and communicate findings to stakeholders.