Senior Data Scientist

• Ensure all ML models adhere to security, privacy, and ethical AI standards, including fairness, explainability, and regulatory compliance.
• Implement techniques for bias detection, adversarial robustness, and secure AI deployment to mitigate risks in real-world applications.
• Establish good practices for model monitoring, drift detection, and performance tracking, ensuring AI systems remain reliable and effective.

Domain Understanding, Cross-Functional Collaboration & AI Strategy

• Work closely with product engineering, and product teams to align AI initiatives with business objectives and technical feasibility.
• Influence the broader AI roadmap, advocating for new methodologies, frameworks, and tools to enhance the impact of ML models.
• Communicate complex ML concepts and results to Sr. leadership, product teams, and stakeholders, ensuring alignment on AI strategies and outcomes.

• Stay at the forefront of AI and ML research, actively exploring new algorithms, architectures, and applications in deep learning, NLP, CV, and more.
• Lead proof-of-concept (PoC) projects, testing and validating emerging AI technologies for potential production adoption.
• Contribute to AI research communities, publishing papers, attending conferences, and engaging in collaborations with academia and industry partners.

• Mentor and guide Jr. and mid-level ML scientists, fostering a culture of innovation, experimentation, and continuous learning.
• Lead technical deep dives, AI model reviews, and algorithmic discussions, helping the team stay ahead of industry trends.
• Identify skill gaps and drive AI education initiatives, ensuring the team is proficient in state-of-the-art ML methodologies.
• Bachelors in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, or a related field.
• Industry Experience: 10+ years of hands-on experience in designing, developing, and deploying machine learning models at scale in production environments.
• ML & AI Expertise: good theoretical and practical knowledge of supervised and unsupervised learning, deep learning, generative AI, reinforcement learning, probabilistic modeling, and large-scale ML systems.
• Programming & Development Skills: Proficiency in Python with deep expertise in ML frameworks and libraries such as TensorFlow, PyTorch,, Scikit-Learn, Hugging Face, or similar.
• Model Deployment Experience: Experience in deploying and optimizing ML models in cloud-based environments (Azure, AWS, GCP).
• Data Handling & Feature Engineering: Expertise in working with large-scale datasets, time-series data, structured/unstructured data, and applying advanced feature engineering techniques.
• Mathematical & Statistical Proficiency: good foundation in linear algebra, probability, optimization, Bayesian inference, and numerical methods.
• Cross-Functional Collaboration: Ability to work closely with software engineers, product managers, and business stakeholders to translate business needs into AI solutions.
• Communication Skills: Ability to clearly articulate complex ML concepts, write technical reports, and present findings to both technical and non-technical audiences.

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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.