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Machine Learning Scientist

Strong Analytics

Roles & Responsibilities

  • Proficiency in Python and/or R programming languages.
  • Experience with SQL and data analysis pipelines.
  • Prior experience developing machine learning solutions from concept to deployment.
  • Strong understanding of data science, machine learning techniques, and real-world problem application.

Requirements:

  • Develop and validate machine learning models for various industries.
  • Collaborate with team members and clients on research and solution implementation.
  • Apply advanced ML techniques such as deep learning, NLP, and Bayesian methods.
  • Research new ML and AI technologies to enhance project outcomes.

Job description

Strong Analytics is seeking Machine Learning Scientists to help design and develop machinelearning based solutions for clients ranging from startups to Fortune 500s. ML Scientists are core contributors at Strong, with responsibilities such as building data analysis pipelines, designingtrainingvalidating machine learning models and algorithms, and collaborating with colleagues and clients on stateoftheart research. The ideal candidate is proficient in Python andor R, SQL, and has prior experience working on ML solutions from concept to production.


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 realworld problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.

Responsibilities
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