Strong Analytics is hiring a
Machine Learning Scientist, Remote - United States
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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
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