Data Scientist 2
- Phebus Hr Advisory
- 4 to 8 Yrs
- Hyderabad
- 6 days ago
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Job Description
- 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 huge volumes of data to solve real-world ML problems that are productionized into our platform to be consumed by downstream applications OR become product feature OR stand-alone products. 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 ,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Data Scientist 2Contact Details:
Company: MicrosoftLocation(s): Hyderabad+ View Contact
Keyskills: Classification Recommender Systems Anomaly Detection Optimization NLP SQL AWS Python programming TensorFlow Keras
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