Data Scientist

Introduction: The Data Scientist is the technical expert and advisor to clients, IBM sales teams and/or IBM Business Partners. As a Data Scientistyou understand the client's business requirements, technical requirements and/or competitive landscape. You apply your business insights, build and maintain client relationships, incorporate hardware, software and services into client-valued solutions and ensure client readiness for the implementation of technical solutions. This is an opportunity to shape the future for both IBM and its clients. Start your journey now!

Your Role and responsibilities :

You will be the Subject Matter Expert on Data and AI Statistical models and how they apply to business ; Led by a solution architect, you will advise on and help implement models in Machine Learning, Optimization, Neural Networks, and Artificial Intelligence such as Natural Language, Transfer Learning, Deep Learning and other quantitative approaches. You will also leverage deep skills and best practices to provide expertise and leadership to help design IBM Data Science and AI solutions that will help our clients drive technology benefits and business outcomes across industries. You will work with cutting edge technologies such as Watson, as well as Open Source approaches such as Python and Jupyter notebooks as well as with a passionate team of people who are driving the innovation and digital transformation to cross-industry enterprise clients with the adoption of IBM Data Science and AI. An ideal candidate will be familiar with Design Thinking, Statistics, building Supervised and Unsupervised machine learning models, and data cleansing techniques using various utilities and programming techniques.

Key Responsibilities:

•nbsp;nbsp;nbsp;nbsp;nbsp;Run and statistically evaluate statistical models such as Machine Learning, Optimization, Neural Networks and Artificial Intelligence

•nbsp;nbsp;nbsp;nbsp;nbsp;Partner with Scrum Masters, Product Owners, Solution architects and peer data scientist and development data engineers to create solutions to meet business and technical opportunities

•nbsp;nbsp;nbsp;nbsp;nbsp;Understand and communicate technical advantages and tradeoffs between Data Models

•nbsp;nbsp;nbsp;nbsp;nbsp;Explore and develop new technical skills and industry practices while absorbing professional knowledge quickly and using demonstrated interpersonal skills to be an effective ambassador for IBM Data Science and AI

•nbsp;nbsp;nbsp;nbsp;nbsp;Use exceptional communication skills and with input from product management, development, and architecture thought leaders, work to deliver high quality end-to-end Solutions at Scale in response to the identified business requirements from our clients; ensure the results are statistically valid

Required Professional and Technical Expertise :

Bachelor’s degree in Computer Science or another field relevant to Data Science

Experience working with Machine Learning, Optimization, Neural Networks and/or Artificial Intelligence

Experience with a Data Science programming language such as Python or R

Deep understanding of Statistics

Fluent in English