Data Scientist

Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

• Data Science Consultants are adept across data science techniques using open source tools to solve varied use cases for our clients
• They work to build strong, enduring relationships with client staff based on innovation, trust and service excellence.
• They are accountable for successful delivery of complex data science engagements adhering to client's requirements and timelines
• They learn constantly and lead adoption of emerging technologies and approaches in their processes benefiting the client & IBM overall.

Who you are:

As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Required Technical and Professional Expertise

• BTech (with 8+ years of relevant experience) or Masters (with 6+ years of relevant experience) in Operations Research, Applied Mathematics/ Statistics/ Econometrics, Electrical or Systems Engineering, Physics or similar highly quantitative field
• Strong ability to transform business requirements into data science formulations and implement the solutions in an efficient and scalable fashion
• Sound understanding of data science concepts, model development & performance tuning processes as well as coding, version control and CI/CD best practices
• Demonstrated extensive experience in building and deploying production quality models in a live digital environment using data pipelines and ML Ops frameworks including handling model drift, retraining and version control lifecycle
• Highly skilled in Python and various data science related libraries of Python including TensorFlow, Keras, Sci-Kit Lean, Pandas, Numpy and PySpark
• Experience in Convolutional Neural Network / Computer Vision projects using TensorFlow, PyTorch and leveraging public / open-source libraries (VGG16, ImageNet, YOLO, OpenCV, etc) as well as ability to tweak, modify these CNN architectures when required for a specific business problem.
• Demonstrated ability of scoping, executing and scaling multiple data science deliverables on their own
• Must have worked in developing and deploying models using more than one cloud platform (AWS, Azure, GCP, IBM)
• Ability to handle multiple projects as an individual contributor and as a lead / mentor to other team members managed directly or indirectly on a project / assignment
• Excellent interpersonal and stakeholder management skills including ability to interact and present to senior stakeholders

Preferred Technical and Professional Expertise

• None