Senior Machine Learning Scientist

Work Type: Full Time

SessionStack is an AI-empowered digital experience analytics platform that helps e-commerce businesses boost conversion rates and revenue through impactful, actionable insights. A highly skilled team with a friendly culture, we respect people’s expertise and value every voice dedicated to our common mission. Join us on our journey to better online shopping experiences through data!

The company is supported by the BrightCap Ventures Fund, the Estonian Wyse Guys Fund, as well as angel investors, established names in the IT community in Bulgaria, such as the founders of Telerik.

We are currently expanding our team and are looking for a Senior Machine Learning Scientist.

About The Role

You will be a part of a young, highly-skilled team and will be responsible for leading the internal Data Analysis/ML developments, defining new features, researching appropriate algorithms and technologies, and rapidly getting prototypes in our customers’ hands.

We are an extremely product-focused team. You’ll work in close collaboration with team members from Product, Design, and Business functions within the company. 

You will:

  • Lead and manage all ML/DA efforts
  • Define, own, and evolve features based on ML/DA efforts in the company
  • Communicate scientific concepts in understandable language for internal teams and clients
  • Work with other company stakeholders to decide on strategies and roadmaps
  • Conduct thorough research of new algorithms, models, and tools to stay ahead of AI innovations. Adapt and apply them, build proof of concept prototypes
  • Maintain and optimize existing data models and architecture


  • 5+ years of applied ML/DA experience
  • Knowledge of Python Data Science libs - pandas, numpy, sklearn, scipy, matplotlib, jupyter or similar
  • Proficiency in Python
  • Understanding of topic modeling, classification, time series analysis, data mining, numerical methods,        and statistical tools
  • Strong foundation in statistics
  • Experience with managing ML models in production
  • Comfort with ambiguity
  • Strong communication skills, both within engineering teams and across disciplines.

What we offer

  • 25 days paid annual leave
  • Flexible WFH policy
  • Social and medical benefits 
  • Individual career path
  • Work-life balance, team buildings, and celebrations

Does that sound like a good match? We are looking forward to your application.

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