Microsoft
Data Scientist II- Insights, Data Engineering, and Analytics Team (IDEAs)
Microsoft, Redmond, Washington, United States, 98052
The
Insights, Data Engineering ,
and Analytics Team
(IDEAs)
under
Data Platform
& Growth
is looking for a passionate, creative, analytical, and experienced Data Scientist who loves big data, curious to identify ways to track customer acquisition and retention journey and explore and unveil insights to create a business story and reporting to impact key business decisions.
Our
team provides the data and insights needed to run and grow the
business
supporting
Microsoft
M365 eco
system.
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 a key role that serves as a subject matter expert on tracking and 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.Location: By applying to this U.S. based position, while remote work is possible, relocation does not apply/is not provided for the role.
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
Partner with various functions/domains within the M365 ecosystem, fostering a deep understanding of these areas (M365, Office client, OneDrive, Copilot, Edge, Windows, etc).Comprehend the key performance indicators (KPIs) set by product and marketing teams, offering guidance and implementing technology solutions to optimize business processes based on those KPIs.Engage with Engineering and product partners to establish data pipelines that ensure a standardized data collection process.Coordinate with product, engineering, and marketing teams to seamlessly integrate new data sources for acquisition and retention journeys into the existing data infrastructure.Collaborate with Finance partners to construct effective funnels and KPIs that measure and project business performance accurately.Provide guidance and contribute to the formulation of technology investment strategies, ensuring the overarching goal of collecting detailed data for actionable insights is realized.Partner with analytics, data science, and data engineering teams to address data structures, data availability, and model development.Work closely with data engineering to articulate requirements for data infrastructure and conduct user acceptance tests to ensure data accuracy.Other
Embody our Culture and ValuesQualifications
Required/Minimum Qualifications
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR 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 experienceOR 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.
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)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)OR 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.
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-payMicrosoft 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.#J-18808-Ljbffr
Insights, Data Engineering ,
and Analytics Team
(IDEAs)
under
Data Platform
& Growth
is looking for a passionate, creative, analytical, and experienced Data Scientist who loves big data, curious to identify ways to track customer acquisition and retention journey and explore and unveil insights to create a business story and reporting to impact key business decisions.
Our
team provides the data and insights needed to run and grow the
business
supporting
Microsoft
M365 eco
system.
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 a key role that serves as a subject matter expert on tracking and 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.Location: By applying to this U.S. based position, while remote work is possible, relocation does not apply/is not provided for the role.
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
Partner with various functions/domains within the M365 ecosystem, fostering a deep understanding of these areas (M365, Office client, OneDrive, Copilot, Edge, Windows, etc).Comprehend the key performance indicators (KPIs) set by product and marketing teams, offering guidance and implementing technology solutions to optimize business processes based on those KPIs.Engage with Engineering and product partners to establish data pipelines that ensure a standardized data collection process.Coordinate with product, engineering, and marketing teams to seamlessly integrate new data sources for acquisition and retention journeys into the existing data infrastructure.Collaborate with Finance partners to construct effective funnels and KPIs that measure and project business performance accurately.Provide guidance and contribute to the formulation of technology investment strategies, ensuring the overarching goal of collecting detailed data for actionable insights is realized.Partner with analytics, data science, and data engineering teams to address data structures, data availability, and model development.Work closely with data engineering to articulate requirements for data infrastructure and conduct user acceptance tests to ensure data accuracy.Other
Embody our Culture and ValuesQualifications
Required/Minimum Qualifications
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR 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 experienceOR 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.
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)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)OR 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.
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-payMicrosoft 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.#J-18808-Ljbffr