Data Scientist

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities
You will take on the role of Senior Data Scientist, tasked with the design, development, and deployment of Machine Learning models and capabilities for IBM Storage Insights, a SaaS Product at IBM India Systems Development Lab (ISDL). ISDL is engaged in the end-to-end design and development across IBM's Power, Z, and Storage portfolios. You will join the WW Storage development organization, contributing to product delivery and strategy discussions. Your role will also encompass leadership responsibilities, guiding technical teams, and ensuring the delivery of comprehensive features.

• Engage in hands-on development, focusing on Time Series Analysis, Forecasting, and GenAI technologies.
• Develop AIOps capabilities for IBM Cloud-based SaaS applications.
• Lead design efforts and actively participate in coding at all levels, working closely with Architects
• Operate within an Agile framework, ensuring continuous delivery.
• Define development standards, including technology selection and workflow processes.
• Collaborate with professionals to establish both functional and non-functional requirements.
• Take part in technical reviews, including the assessment of requirements, specifications, designs, and other project artifacts.

• Minimum of 10 years of industry experience in a Data Scientist role, with hands-on development experience.
• Proficiency in Python programming.
• Expertise in Time Series Analysis and Forecasting.
• Demonstrated experience in AI projects, including familiarity with AI and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, LLMs, NLP, GenAI).
• Skills in Anomaly Detection, Classification, Clustering, Optimization, and AI/AIOps.
• Knowledge in AI model deployment and integration.
• Experience with RESTful APIs and GitHub.
• Basic understanding of Java.
• Strong problem-solving capabilities, with the ability to adapt to a dynamic, fast-paced environment.
• Excellent communication and teamwork abilities.

• Data Engineering background.
• Advanced experience with cloud technologies, including Kubernetes, microservices architecture, Kafka, Object Storage, Cassandra database, and Docker. Familiarity with IBM Cloud Technologies is a plus.
• Understanding of storage system observability.
• Experience in design and technical leadership.