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

1. Implement and validate predictive models as well as create and maintain statistical models with a focus on big data
2. You'll incorporate a variety of statistical, machine learning, and deep learning techniques
3. Communicate with internal and external clients to understand and define business needs, providing analytical solutions
4. Use leading edge tools such as python, tensor-flow combined with IBM tools and our AI application suites
5. Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
6. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results
7. Ask business and industry questions to identify appropriate modeling techniques
8. Communicate results to technical and non-technical audiences

1. Thrive on teamwork and have excellent verbal and written communication skills
2. Strong fundamentals in Mathematics and Computer Science (algorithms)
3. Strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in SQL or Python
4. Proficient at least one of the skills and data platforms: Docker, Kafka, Spark.
5. Familiar with data warehouse/data lake/data lakehouse, data mining, DevOps, MLOps
6. Basic knowledge of predictive/prescriptive modeling skills

1. Some knowledge of Design Thinking and Agile Development Methodologies
2. Familiar with distributed system and CI/CD implementation
3. Working level in English speaking