Data Scientist 2

Are you excited to work on and help shape a product used by hundreds of millions of users all over the world? Do you want to work in a team of enthusiastic and talented Data Scientists?

Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.

Microsoft Edge Browser team is currently seeking a Data Scientist 2 in Redmond, WA.

This person will have a keen interest in owning and solving complex problems with a creative perspective by manipulating big data, applying a hypothesis-driven approach, and using statistical / ML modeling techniques.

Microsoft Edge is one of the world’s leading modern browsers. The Edge Growth & Data Science team’s mission is to Provide Insights from Data, Experimentation, and Customer Sentiment about the most promising levers for sustainable Edge Browser growth and Drive action on these insights.

The Measurement Science team, as part of the Edge Data Science team, evaluates if the product is growing; enables in-depth decomposition of Edge business performance through metrics, forecasts, attribution of initiatives, advanced analyses using Statistical and Machine Learning (ML) modeling;

communicates Edge business metric status to SLT clearly and effectively; partners with stakeholders across Edge, Windows and Web Experiences, Finance, Business teams to identify and drive growth opportunities.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Develop right metrics to accurately measure product growth; build / improve / apply scientific and methodological decomposition and attribution to interpret, explain metric movement;

work with Finance team to build forecast; be on Designated Responsible Individual (DRI) rotation periodically for weekly Senior Leadership Team (SLT) reviews of the Edge business metrics, communicate status of the metrics clearly and effectively, and provide SLT with clear and concise answers to their ad hoc questions in a timely manner usually within hours.

• Process and analyze big data datasets, usage funnels, long-term trends using Statistical, Machine Learning modeling, and Hypothesis-driven approach to identify opportunities, patterns, pain points in the end user’s journey and provide recommendations to the leadership teams to help in driving customer satisfaction, acquisition, engagement, and retention.
• Research, propose, and implement innovative solutions to enhance our tools, processes, and analytics capabilities.
• Collaborate not only with other Data Scientists, Developers, Product Managers, feature teams within Edge but also with Partner teams like Windows, Search, News, Finance, Business, Marketing teams, etc.

to help drive the Edge business growth.

Demonstrate a growth mindset, keen interest in learning, and commitment to responsibilities.

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.
• Preferred Qualifications
• Professional experience in driving business growth by generating data-driven hypotheses and insights using Statistical and ML modeling.
• Proficiency in data analysis tools such as Python, R, or similar.
• Experience working in big data platforms like Microsoft Azure, Databricks, Cosmos or equivalent
• Hands-on experience in Forecasting, Experimentation, or A / B Testing
• Experience in developing processes, tools to facilitate analytical capabilities for a team’s success.
• Knowledge or experience with projects using deep learning especially with frameworks such as PyTorch, TensorFlow, Keras or using Generative AI, LLMs etc.
• Ability to own an area / project and drive it to successful completion by creatively removing hurdles with minimal or no supervision.

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.

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.

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