IBM Senior Data Scientist in MOSCOW, Russia

Job Description

IBM Services Russia / CIS is expanding its practice in data science and looking for Data Scientist. This is a customer-facing role, you will be directly responsible for helping top-tier clients meet their business needs by developing complex and innovative solutions. In this role, you will have access to world-class industry talent and technology, as well as the training and career development tracks that will enable you to accelerate your skills and industry expertise. Work is project based. You will work in the team which engage directly in solving real-world data science problems in a wide array of industries in Russia and CIS with IBM clients. Most of the projects are in Banking and Oil & Gas. The team of data scientists is working with other IBMers and client data science teams.

Key Responsibilities:

  1. Identify a use case

  2. Break that use case down into discrete MVPs (minimal viable product)

  3. Work in code notebooks

  4. Build & validate models

  5. Deploy models via APIs into applications or workflows

  6. Monitor & retrain models

  7. Use code repositories to version and share code/notebooks

  8. Visualize and explain data story in a way that is consumable by client

  9. Create Machine Learning pipelines and train models

  10. Cooperate with business analysts and subject matter experts

While working across industries, you will also get to travel. Engagements will require that the team spend several weeks at client sites working on data science problems with a diverse team. Total travel time is approximately 20%.

Required Technical and Professional Expertise:

  • 3 years in Programming skills, Probability and Statistics

  • 2 years in Big Data and Machine Learning

  • 2 years in Data Modelling and Evaluation

Preferred Technical and Professional Experience:

  • 4 years in programming skills in at least two of the following: Python, R, Scala or Java. Preference for Python Expert

  • 4 years in applying supervised, unsupervised and semi-supervised learning techniques

  • 1 years in Machine Learning pipeline - data ingestion, feature engineering, modelling including ensemble methods, neural networks, natural language processing, predicting, explaining, deploying and diagnosing over fitting

  • 1 year of client facing role

Required Technical and Professional Expertise

.

Preferred Tech and Prof Experience

.

EO Statement

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.