Microsoft Hiring Data Scientist 2 (Work From Home) India
Microsoft Bing is seeking a motivated and self-driven Machine Learning (ML) engineer/scientist to join its team. The role involves working on advanced machine learning and natural language understanding (NLU) problems, contributing to the mission of solving real-world challenges using cutting-edge technologies.
Location: Hyderabad, Telangana, India
Job Number: 1761343
Work Site: Up to 50% work from home
Travel: 0-25%
Role Type: Individual Contributor
Employment Type: Full-Time
Profession: Research, Applied, & Data Sciences
Discipline: Applied Sciences
Date Posted: August 23, 2024
Qualifications:
Educational Requirements:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, or a related field with 4+ years of industry experience.
- Ph.D. is desirable.
Technical Skills:
- Strong expertise in Python programming and at least one Deep Learning framework (e.g., PyTorch, MXNet, TensorFlow, Keras).
- Knowledge and expertise in at least three areas: Large Language Models (LLMs), Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP.
- Hands-on experience in developing ML models and integrating them into production services.
- Proficiency in SQL, PySpark, Azure Data Studio, and experience with cloud computing environments like Azure, AWS, or Google Cloud (Azure preferred).
Additional Skills:
- Ability to prepare data and feature engineering pipelines.
- Strong research record, demonstrated through publications.
- Experience in creating intellectual property, such as patents, is desirable.
- Proficient in Relational Databases (SQL) and Big Data Technologies (e.g., Hive, PySpark).
Responsibilities:
Data Science and ML Development:
- Solve real-world ML problems by working with large volumes of data and creating ML models for production.
- Combine data science expertise, programming skills, and mathematical understanding to deliver state-of-the-art ML solutions.
- Work closely with global teams to create impactful solutions.
Research and Innovation:
- Explore state-of-the-art research, bring relevant knowledge to the team, and foster a culture of learning and paper publishing.
- Demonstrate a product mindset by developing reusable components that can be integrated into ML services or productized solutions.
Collaboration and Mentorship:
- Collaborate with engineering, product management, analytics, and transformation teams across Microsoft.
- Ensure that the team's strategy aligns with organizational goals and follows best practices.
- Mentor and lead a diverse, high-performance team of data scientists.
Benefits/Perks:
- Healthcare: Industry-leading healthcare options.
- Educational Resources: Access to continuous learning and development resources.
- Product Discounts: Discounts on Microsoft products and services.
- Financial Benefits: Savings plans and investment opportunities.
- Family Leave: Maternity and paternity leave options.
- Time Off: Generous time away from work.
- Giving Programs: Participation in community and global initiatives.
- Networking: Opportunities to connect and collaborate with professionals globally.
Application Process:
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Diversity and Inclusion:
Microsoft is committed to fostering a diverse and inclusive work environment. All qualified applicants will receive equal consideration for employment, ensuring a workplace where everyone can thrive.