Senior Data Scientist / Machine Learning Engineer

Role Overview

As a Data Scientist / Machine Learning Engineer, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modeling techniques. You'll analyze structured and unstructured data, establish automated processes for large-scale modeling, perform exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong sense of ownership and urgency.

What You Will Do

Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients; Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms; Establish efficient, automated processes for large-scale modeling; Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;

Why It Might Be a Fit

Relevant experience in data science/ machine learning development; Proficiency in Python; Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn); Strong understanding of machine learning algorithms, processes, tools and platforms; Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow; Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work); Ability to work on distributed cloud platforms; Fluent English

Requirements

• Relevant experience in data science/ machine learning development
• Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject
• Proficiency in Python
• Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn)
• Strong understanding of machine learning algorithms, processes, tools and platforms
• Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow
• Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work)
• Ability to work on distributed cloud platforms
• Fluent English

Benefits

• Health and dental plan
• Life insurance
• Monthly voucher for meals, culture, education, health and mobility
• Child care assistance