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Are you an experienced data analyst and scientist with a passion for unlocking business value from data? Do you have a relentless passion for data and analytics and a desire to drive future products via key data insights? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you!

We're the Video Experience (VX) team, part of the Microsoft AI organization. Our goal is to make consumer video experience awesome across Microsoft products. We are on the lookout for a Data Scientist II who is not just proficient but truly stands out in the realm of data analytics. If you're someone who thrives on transforming complex data into compelling business insights, you might just be the person we're looking for. Join us to become a pivotal part of a team that's steering the future with data-driven decisions.

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. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Responsibilities:

• ​​Empower Decision-Making: Dive deep into our data universe using the Microsoft data stack, including SQL and Kusto (Azure Data Explorer), to unearth insights that drive strategic decisions.

• Drive Excellence: Utilize our advanced metrics data from PowerBI & TITAN dashboards to not just interpret the present but to forecast the future, shaping the strategic direction of the VX organization.

• Be the Storyteller: Master the art of data storytelling, creating compelling narratives and visualizations that resonate with the VX leadership, influencing key decisions.

• Strategic Collaboration: Work hand-in-hand with product managers & stakeholders, translating vague concepts into clear action plans, and ensuring your analytical prowess contributes to our collective success.

• Other:

• Design experiments, analyze results and produce actionable, trustworthy conclusions from them.

• Build new metrics: Help to design, build and measure consumer behavior from telemetry data especially focusing on the video feature impact on the consumer app.

• Leverage modern techniques in ML/AI to understand our user behavior and surfacing insights.

• ​Play a crucial role in defining and refining OKR targets that align with our ambitions, continuously monitoring and steering our journey towards excellence.

• Be the guardian of data accuracy, employing meticulous validation and testing to maintain the highest standards of data integrity.

• Collaborate across the organization by using data to unlock key insights to drive business growth.

• Partner with product management and the advertising teams to extract revenue data and growth paths.

• Embody ourCulture (https://www.microsoft.com/en-us/about/corporate-values) andValues (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field

• OR Master's Degree 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 consulting experience

• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR equivalent experience.

Additional or Preferred Qualifications

• 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)

• 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.

• Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.

• Experience with Experiment Design and analysis.

• Proven expertise in the Microsoft data stack, especially SQL and Kusto, is your superpower.

• Possess the unique ability to demystify complex data for a non-technical audience, making you an invaluable bridge between data and decisions.

• The ability to manage competing priorities seamlessly makes you a standout performer.

• Demonstrated ability to thrive in a collaborative team environment.

• Experienced in acquisition/retention and customer journey analytics.

• Demonstrated problem-solving, technical, and data analysis skills.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $120,900 - $198,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until May 10, 2024.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .