Data Scientist Ii- Insights, Data Engineering, And Analytics Team (Ideas)

The Insights, Data Engineering, and Analytics Team (IDEAs) under Data Platform & Growth is looking for a passionate, creative, analytical, and experienced Data Scientist who lovesbig data, curious toidentify ways to track customer acquisition and retention journey andexplore and unveil insightstocreate a business story and reporting to impact key business decisions. Ourteamprovidesthe data and insights needed to run and grow the business supporting Microsoft M365 ecosystem.

This work includes: 

• Delivering comprehensive customer acquisition and retention business insights to the Leadership Team (SLT) and collaborating with partner teams, including product marketing, go-to-market, and finance..  
• Offering actionable intelligence and Analytics to assist the business in forming strategies for the growth of our M365 subscriber base, including the development of forecasting and predictive modeling. 
• Creating and automating data assets to generate reports and dashboards, facilitating the democratization of business and customer insights for product engineering, marketing, and field teams 
• Utilizing common data models and architecture, while ensuring compliance with data governance standards. 

Data Scientist II -Insights, Data Engineering, and Analytics Team (IDEAs)

This Data Scientist position is akey rolethat serves as a subject matter expertontrackingand understanding customer acquisition and retention journey to help business optimize strategy to grow our M365 subscriber base and ways to make the best feature for Microsoft M365 ecosystem products.  

The scope encompasses delivering timely business performance reports, crafting compelling storytelling presentations, and developing dashboards for leadership. Additionally, it involves a deep understanding of user purchasing and renewal flows, providing data expertise to partners on best practices for tracking these journeys to ensure accurate business performance reporting. 

Furthermore, the role involves exploring and comprehending various data sources, both new and existing, that contribute to our data pipeline for end-to-end reporting and insight generation. This may require the discovery and exploration of new data sources, conducting research, creating proof of concepts, and collaborating with Product Management and Engineering teams to operationalize data assets, thereby democratizing business insights. 
 
You are driven, self-directed, curious, care, and focused on delivering the right results. To be successful in this role, you will have demonstrated skills in written and oral communications, a can-do attitude, and the willingness to tackle hard problems in innovative ways. You also thrive in a team environment that values cross team collaboration and building on the success of others. 

Required/Minimum Qualifications 

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

                o 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 

                o 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) 

             o OR equivalent experience.

• 2+ years experience with at least one of the following: Web analytics, Campaign analytics, In-product analytics.
• 1+ years experience with querying large data sets using SQL or Python.
• 1+ year of experience with Business Insights (BI) tools such as Data studio, PowerBI (PBI) or tableau.

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) 

                   o 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) 

                 o 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) 

                o OR equivalent experience. 

• Demonstrated analytics experience. 

• Experience with large-scale data manipulation using SQL, R, Python, or other data languages. 

• Demonstrated ability to thrive in a collaborative team environment. 

• Demonstrated analytical experience with a focus on subscription products is advantageous. 

• 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 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Required/Minimum Qualifications 

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

                o 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 

                o 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) 

             o OR equivalent experience.

• 2+ years experience with at least one of the following: Web analytics, Campaign analytics, In-product analytics.
• 1+ years experience with querying large data sets using SQL or Python.
• 1+ year of experience with Business Insights (BI) tools such as Data studio, PowerBI (PBI) or tableau.

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) 

                   o 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) 

                 o 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) 

                o OR equivalent experience. 

• Demonstrated analytics experience. 

• Experience with large-scale data manipulation using SQL, R, Python, or other data languages. 

• Demonstrated ability to thrive in a collaborative team environment. 

• Demonstrated analytical experience with a focus on subscription products is advantageous. 

• 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 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.