Description
We are looking for a highly motivated and experienced Principal Data Scientist to join our Growth and Analytics team. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
Responsibilities: Build metrics system to measure Business Health and quickly identify the root cause when metrics move. 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. Analyse large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems. Conduct business modelling to identify growth opportunities and initiate projects with a positive long-term ROI. Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements based on the results. Effectively communicate findings, insights, and make recommendations to both technical and non-technical stakeholders, enabling informed decision-making.
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.
Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy. Previous web analytics, product analytics and or content analytics experience. Knowledge of Ads and content ecosystem. 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