Data scientist

Description

We’re looking for an experienced data scientist with a strong background in modeling and model evaluation to help us develop and optimize our core algorithms for AI Assurance. Superwise’s solution offers practical capabilities to monitor ML models and gain insights into their behavior in a live production environment. Our mission is to help data science teams to scale their AI effectively. 

As a data scientist you’ll research and develop algorithmic solutions for complex, real-world problems in a wide variety of use cases like models performance management, optimization, concept drift and bias detection, explainability and more, across multiple industries (fintech, marketing, gaming, etc.). You may also take part in our thought leadership efforts by initiating and collaborating on pieces of content and other articles to help educate the data science and MLOps community.

Requirements

  • M.Sc in a relevant (STEM or related) field with 3-5 years of hands-on experience, ideally in early stage startups or deep tech companies. 
  • Deep understanding of algorithms, statistics and ML concepts and experience in solving a wide variety of ML tasks (classification, regression, ranking, clustering, anomaly detection, etc.) 
  • Proficient with Python and MLDL related packages (pandas, scikit, etc.). 
  • Experienced in SQL
  • Combination of strong research & engineering skills with problem-solving skills. Ability to perform fast algorithmic poc’s to test new features feasibility.  
  • Good communication skills, ability to clearly explain complex concepts both in writing and orally.

Nice to have:

  • Vast experience in time series anomaly detection – an advantage.
  • Experience with ML explainability methods and strategies.
  • Experience with maintaining  ML models in production and improving performance after deployment.

Apply for this position

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