Machine Learning Scientist

Summary

Strong Analytics is hiring Machine Learning Scientists to design and develop machine-learning based solutions for various industries. The role involves building data analysis pipelines, developing/training/validating ML models, collaborating on research, and identifying areas of improvement. Applicants must be proficient in Python and/or R, SQL, have prior experience with ML solutions, and meet other specified requirements.

Requirements

• Proficiency in Python and/or R, SQL
• Prior experience working on ML solutions from concept to production
• 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)

Preferred Qualifications

Ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits

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