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The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Microsofts 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
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within Microsoft (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.

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.