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Lead Machine Learning Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
Illinois (USA), United States

Offer summary

Qualifications:

Deep expertise in machine learning, Experience in data science applications.

Key responsabilities:

  • Develop custom machine learning solutions
  • Train and validate machine learning algorithms
  • Apply advanced ML techniques like deep learning
  • Research new technologies for business use
  • Collaborate in an Agile and remote environment
Strong Analytics logo
Strong Analytics Research Startup https://www.strong.io/
11 - 50 Employees
See more Strong Analytics offers

Job description

Strong Analytics is seeking Lead Machine Learning Scientists to collaboratively design and develop machine-learning based solutions for clients ranging from startups to Fortune 500s. Lead ML Scientists are mission-critical at Strong who lead project teams, design project scopes, work directly with clients to iterate on solutions, and ultimately bring together state-of-the-art solutions to our clients' most pressing problems. This is a "player-coach" role, with time for serious technical contributions and team leadership and mentorship.


At Strong, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. 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.

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)

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

  • A 100% remote work environment with highly protected work/life balance

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Research
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Team Leadership
  • Problem Solving
  • Analytical Skills
  • Analytical Thinking

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