Senior Data Science Expert
13 hours ago
Overview
Microsoft is seeking a seasoned professional to drive business value with data insights and analytics. As a Principal Data Scientist, you will be part of the Office Product Group, working on a mission to delight customers by using data-informed engineering to develop compelling products and services.
We're looking for an individual who can take a business or engineering problem from a PM or Engineering leader and translate it to a data science problem. This includes identifying and deeply understanding potential data sources, conducting the appropriate analysis or modeling to reveal actionable insights, and working with data or AI engineers to operationalize the metrics or solutions.
Responsibilities
- Develop expertise with multiple data sources to tell a story and to compensate for missing data, identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories.
- Create and deploy Machine Learning Methods like Regression, Classification, Clustering, Dimensionality Reduction, Ensemble Methods, Natural Language Processing and Forecasting Methods.
- Collaborate with cross-functional teams to solve business problems through data-driven insights.
- Transform formulated problems into implementation plans to develop forecast models to predict future trends and apply appropriate decision-making metrics, backed up with thorough exploration data analysis.
- Prepare tailor-made data-driven approach/solution methodologies to address customer/stakeholder problems.
- Interpret results and develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations.
- Participate and take a leading role in planning how we should measure the most pressing threats to the Azure environment and guiding others in the creation and improvement of these metrics.
- Mentor and provide guidance and support to team members, unblocking them navigating through complex projects and provide required guidance for career development.
Qualifications
- Hands-on experience in EOE data science/ML problem-solving experience.
- 10+ years of programming experience in Python (with ML packages like Pandas, Scikit Learn) & R Stat/ML packages.
- 8+ years of experience developing applications in the cloud using technologies such as SQL, Kusto, Databricks, Azure ML, Spark etc.
- Candidates must be able to communicate complex ideas and concepts to leadership and deliver results.
- Candidates must be comfortable in manipulating and analyzing complex, high-dimensional data from varying sources to solve challenging problems.
- Bachelor's or higher degrees in Computer Science, Statistics, Mathematics, Engineering, or related disciplines.
Benefits
- Industry-leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
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