Machine Learning Scientist

Summary

Join Strong Analytics as a Machine Learning Scientist to design and develop machine-learning based solutions for clients. Work with colleagues and clients on state-of-the-art research, applying data science and machine learning to real-world problems.

Requirements

• Applicants must reside in either the US or Canada
• Statistical modeling and hypothesis testing
• Designing, training, and validating results from a breadth of machine learning algorithms
• Writing clean, efficient SQL
• Building and testing Python applications
• Building deep neural networks with modern tools, such as PyTorch or Tensorflow
• Collaborating via Git
• Ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits

Responsibilities

• Work with other machine learning scientists and engineers to develop custom ML solutions
• Develop, train, and validate machine learning algorithms
• Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions
• Help create generalized solutions out of specific use cases
• Help identify areas of opportunity and improvement within projects
• Research new techniques and technologies in the space of ML and AI, and evaluate their potential for business use cases
• Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)

Benefits

• Competitive salary
• 100%-covered Health insurance for employees, 75%-covered dependents
• Four weeks PTO
• 401(k) with employer contribution matching
• Personalized monthly perks with matched charitable donations
• A 100% remote work environment with highly protected work/life balance