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Senior Data Scientist
Full-time
Overview
The CE&S Business Intelligence (BI) Team is responsible for delivering data-driven decision-making and self-serve analytics to optimize customer experience and support operations across Microsoft's assisted and self-service support surfaces. We build and manage data platforms and data flows, oversee data and measurement governance, develop Machine Learning (ML) models, manage support-critical data tools, and provide both core and business-specific analytics resources and guidance.
We are looking for a goal driven Senior Data Scientist with deep experience in developing data driven solutions and expertise in conventional and state of the art Machine Learning (ML) and AI technologies. You will be working side-by-side with high-impact data scientists and strategic customers to solve complex problems. You will work with several teams including engineering crews, product teams, and program management to deploy business solutions.
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.
Responsibilities
Be a self-starter with a demonstrated track record of providing technology vision and driving them through.
Collaborate with partner teams (engineers and analysts) to deliver end-to-end systems and experiences.
Develop Machine Learning models and solutions using classical algorithms as well as foundation models.
Utilize LLMs and other AI technologies to revolutionize data science practices within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation.
Apply your knowledge in quantitative analysis, data mining, and the presentation of data to inform decision-making.
Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities.
Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs.
Mentor other team members.
Qualifications
Required/minimum 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.
5+ years experience building machine learning models and writing production level code in Python.
Other Requirements
Additional Preferred Qualifications
Fluent in tools for navigating and analyzing data (SQL, Python, Databricks, Synapse, AzureML, Fabric, etc.); experience with Azure Cloud.
Excellent quantitative, data modeling, and statistical skills. Examples include causal inference, resampling techniques, mixed effects models, significance tests, etc, with machine learning algorithms for forecasting, clustering, classification, recommendation systems, NLP, etc.
Excellent written and oral communication skills, particularly the ability to synthesize complex problems/scenarios into easy-to-understand concepts.
Creative, innovative, and organized thinker with high attention to detail and self-driven to continuously learn and bring a growth mindset to problem-solving with effective time management in complex, ambiguous, deadline-driven environments.
5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
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