Address
Form of work
SalaryWe are AI, Insights and Modelling (AIIM) team that is part of the Carrier Operations and Integrations (COI) organization that powers the phone system features for Microsoft Teams. Our team members are located world-wide (USA, Canada, Estonia and India) and this position is based on of USA. Within the AIIM team, we focus on Business Intelligence that is a core area to support data-driven insights, analysis and modeling to our key internal stakeholders that drive phone system business.
We are seeking a Data Scientist II, who can join us and make a direct impact in driving data-driven insight generation to the COI org. We want you because you have an insatiable passion for making sense out of data, interested in making direct business impact with analysis, your eagerness to learn and adapt new technology, your constant intellectual curiosity and willingness to learn new business domains, you ability to do effective story-telling, your ability to communicate to internal team and also stakeholders and your ability to deliver the right results at the right time.
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.
Embody our Culture and Values
Responsibilities
- Be involved in the full analytical lifecycle: from understanding business and technical requirements from stakeholders, data understanding, domain understanding, choosing the right technical method for developing the analysis, implementing it and explaining the insights to stakeholders. This also involves collaboratively working with Data engineering to define key data requirements, review data and analyzing data to drive impactful decisions to the business
- Using technologies like Azure ML, Python, PySpark and more and other Microsoft internal tools for analysis and modeling
- Data retrieval and analysis tools like SQL, Kusto
- Data visualizations and story telling with tools like PowerBI
- Perform and get insights from data analysis – visualizing big data, looking for insights from massive telemetry, coming from hundreds of millions of records per day
- Work closely with partner teams, data engineering, product managers and other stakeholders
- Contribute to team culture and adapt and support best practices in business intelligence
Qualifications
Required/Minimum Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field
- OR Master's Degree in Data Science, Mathematics, Statistics, 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, 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, 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, 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, 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 working with large scale data.
- Experience with Python, Azure ML or similar
- Experience with data wrangling and story-telling with told like Tableau, PowerBI and/or Stakeholder presentations
- Ability to leverage understanding of data science/Analytics and business to examine projects through a customer-oriented focus.
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. 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.
