We are looking for a Data Scientist with expertise in developing statistical techniques to analyze data and find patterns. You will work cross-functionally with several teams including data scientists, engineering crews, product teams, and program management to deploy business solutions for Microsoft clients in the Healthcare and Life Sciences sector.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
Responsibilities
Modeling and Statistical Analysis
Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks.
Writes scripts in various languages and understands Microsoft AI and ML tools.
Designs experiments and operationalizes models at scale applying AI and engineering best practices.
Business Understanding and Impact
Makes impactful contributions to data-driven projects with understanding of business requirements and data science expertise.
Data Preparation and Understanding
Manages data collection and preparation for projects.
Evaluation
Understands relationship between selected models and business objectives.
Ensures clear linkage between selected models and desired business objectives.
Defines and designs feedback and evaluation methods.
Presents results and findings with other team members.
Coding and Debugging
Demonstrates excellent coding and debugging skills across multiple features/solutions.
Business Management
Drives business value by collaborating with team members and improving solutions.
Customer/Partner Orientation
Provides customer-oriented insights and solutions by understanding the business, product, data and customer perspective.
Delivers customer-oriented solutions and builds trust with Microsoft products.
Requirements: Required Qualifications
3+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results). AND Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or related field
OR 2+ year of data-science experience AND a Masters degree in Engineering, CS, Mathematics, Statistics or a related field.
OR a PhD degree in Engineering, CS, Mathematics, Statistics or a related field.
OR equivalent experience
Expertise in machine learning models with hands-on experience applying them in real-world scenarios.
Preferred Qualifications:
Experience working as part of geographically dispersed, diverse, and virtual teams
Enjoy travel and are comfortable with travel up to 25% (once per quarter)
Masters degree in Engineering, Computer Science, Mathematics, Statistics, or related field
Demonstrated ability to work with customers and collaborate across company boundaries
Knowledge of advancements and emerging research in foundation models, including large language models (LLMs).
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