Position: Senior Data Science Engineer/ML
Company: Global Logic
Category: Data Science
Experience required: 3y
English level: intermediate

Our Client is a Fortune 500 company and is one of the biggest global manufacturing companies operating in the fields of industrial systems, worker safety, health care, and consumer goods. The company is dedicated to creating the technology and products that advance every business, improve every home and enhance every life.

Requirements:
As a Data Science Engineer, you will contribute to ML frameworks and tools enabling delivering innovative communications and technology best-in-class solutions for our client.
This will range from modeling and algorithm development to deep analysis research utilizing different approaches and techniques.
You’ll be working with the rest of the development team to specify, design, and build the complete user experience.

Key requirements:
– 3+ years experience in Data Science and/or Machine Learning
– Intermediate knowledge of Python and R programming languages
– Advanced knowledge and experience in methods for classic machine learning and deep learning, data science, and BI
– Experience in Feature selection, Feature Engineering, Transfer Learning, Data visualization, different ML models, A/B testing, etc.
– Experience in multi-objective optimization (ex: Random Forest, Support vector machines, ensemble methods)
– Solid knowledge of SQL
– Upper-intermediate English (ability to freely communicate and lead a conversation with English-speaking teams)

Will be a plus:
– Degree in the related field
– Engineering experience

Responsibilities:
– Design and development of ML models and algorithms
– Research & Development for various type of projects
– Applying different approaches for solving
– Communication with other teams including non-engineering teams