Machine Learning Scientist

Job description

Strong Analytics is seeking Machine Learning Scientists to join our growing team designing and developing machine-learning based solutions. ML Scientists are core contributors at Strong, with responsibilities such building data analysis pipelines, designing/training/validating machine learning models and algorithms, and collaborating with colleagues and clients on state-of-the-art research.

At Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying data science and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.

We offer a comprehensive compensation package, including:

  • 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


Candidates will be evaluated based on their experience in the following areas:

  • 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

Applicants with an MSc/PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.

Applicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.

Applicants may reside in either the US or Canada.