Strong Analytics is hiring a
Lead Machine Learning Scientist

Summary

Strong Analytics is hiring a Lead Machine Learning Scientist to collaboratively design and develop machine learning solutions for various industries. The role involves leading project teams, working directly with clients, and applying various machine learning techniques. The work environment is fully remote, Agile-like, and offers competitive salary, health insurance, four weeks PTO, 401(k) with employer matching, personalized monthly perks, matched charitable donations, a 100% remote work environment, and highly protected work/life balance.

Requirements

• Reside in either the US or Canada
• Have 3+ years of experience shipping machine learning-based products
• Demonstrated skill/aptitude in 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

Responsibilities

• Work with other machine learning scientists and engineers to develop custom ML solutions for a variety of industries and use cases
• 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