Jobs via Dice ยท 2 hours ago
Senior Data Scientist
Microsoft is a leading technology company committed to empowering individuals and organizations. The Senior Data Scientist role involves working on advanced analytics initiatives to drive business insights and strategic decisions through the design and implementation of scalable data solutions.
Computer Software
Responsibilities
Design and execute controlled experiments to validate hypotheses
Apply advanced statistical techniques (e.g., regression, Bayesian methods, causal inference) to derive actionable insights
Communicate limitations and confidence intervals clearly to stakeholders
Develop predictive and prescriptive models using machine learning and AI techniques
Ensure models are production-ready, maintainable, and aligned with privacy and compliance standards
Monitor model performance and iterate based on telemetry and feedback
Build ad hoc and production ready data pipelines for large-scale, diverse datasets
Partner with Data Engineering teams to ensure robust, secure, and scalable data infrastructure
Implement best practices for data quality, governance, and monitoring
Translate complex analytical findings into clear business recommendations
Influence product and strategy decisions through data-driven insights
Collaborate with cross-functional teams to align analytics with organizational goals
Qualification
Required
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
3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment
2+ years of experience with written and verbal communication to educate and work with cross functional teams
1+ year of experience in delivering on ambiguous projects with incomplete or imperfect data
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Preferred
Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment
Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems
Experience with programming skills, e.g. Java, C#
Company
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Funding
Current Stage
Early StageCompany data provided by crunchbase