Data Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

199000.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, AI Tools, Market Research, Technical Communication, Product Development, Cross-Functional Collaboration, Innovation, Analytical Skills, Consultative Approach, Problem Solving

Industry

Software Development

Description

Overview We are seeking a pioneering and technically fluent Data Scientist to join our AI & Data Science Tools team. This role will be instrumental in shaping the future of AI-powered product development within Microsoft Marketing’s Research + Insights organization. You will be integral to the design, build, testing, and scaling management of our newest AI tools for Market Research. Why Join Us? This is a high-impact, high-visibility role at the intersection of AI innovation and marketing strategy. You’ll have the opportunity to shape foundational tools, influence decision-making across the org, and grow your career in one of Microsoft’s most forward-looking teams. Our Research + Insights team is one of the largest and most innovative market research teams in the world and partners with the company’s core businesses. We are close to and in constant contact with our business partners, and our work has global reach and impact. Our people are research and data science professionals with a consultative approach who thrive on tackling significant business opportunities and influencing decision makers at all levels. We are intellectually curious, analytical, impact driven, persistent, and not shy about sharing our insights and recommendations. We are passionate about developing ourselves, our careers, and our profession and take pride in knowing the businesses we support. And above all, we aspire and strive to have an open, inclusive, and transparent culture. 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 AI Graph Management Oversee the design, development, and ongoing management of our knowledge graph architecture to support scalable AI solutions. Product Roadmap & Rhythm of Business (ROB): Own and evolve the product roadmap and ROB processes, ensuring alignment with strategic goals and technical feasibility. Cross-Functional Collaboration Interface with developer teams, Research + Insights research managers, Marketing leadership, and partner data science teams to translate business needs into technical requirements. Technical Communication Articulate complex technical concepts clearly to both engineering teams and executive stakeholders. Innovation & Execution Drive product development in a fast-paced, ambiguous environment with a focus on delivering high-impact AI tools. Other Embody our culture and values. 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) 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. Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Data Scientist will oversee the design, development, and management of knowledge graph architecture to support scalable AI solutions. They will also drive product development in a fast-paced environment and collaborate with various teams to translate business needs into technical requirements.