Data Scientist 2

1 week ago

Hyderabad Telangana, India Microsoft Full time

Microsoft Bing is looking for a motivated, self-driven ML engineer/scientist to join our mission. Essential attributes and competencies include excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning algorithms and broad scope in solving NLU related ML problems.

**Responsibilities**:

- Work with global teams with an opportunity to create phenomenal impact.
- Combine data sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across the enterprise.
- Explore existing state of the art research in the field and bring relevant work to the team and educate team members. Promote a culture of paper publishing and learning in the process.
- Demonstrate a product mindset and look to deliver re-usable components that can be deployed as or into ML services/productized solutions.
- Partner closely with engineering, product management, analytics & transformation teams from across Microsoft to deliver outstanding value to stakeholders and our products.
- Ensure team's strategy is aligned with organization goals and best practices are followed
- Mentor and lead a team of diverse high-performance team of Data scientists

**Qualifications**:

- Masters/Bachelors degree in Computer Science, Mathematics, Statistics, Physics or related field with 4+ Years of industry experience. Focus on ML preferred. Ph.D. desirable
- Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras)
- Knowledge of (with deep expertise in at-least three of) LLMs, Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP
- Hands-on develop ML models using the above techniques across Customer, Partner, Field & Sales in varied domains
- Software fundamentals: code + integrate models into production services.
- Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up
- Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc
- Strong research record preferred demonstrated, through publications
- Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable.
- Proficient in Relational Databases (SQL) and Big Data Technologies (Hive, PySpark)
- Knowledge of working in cloud-computing environment like Azure or AWS or Google Cloud. Azure preferred

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