Mid/Senior Data Scientist

If you want to:

• Build data-driven solutions, and collaborate with various business departments, including UX, marketing, and product development;
• Create and support existing models by leveraging state-of-the-art algorithms;
• Collaborate with cross-functional teams to identify data requirements, define project objectives, and ensure successful project execution;
• Communicate complex findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports, and presentations;
• Stay abreast of the latest advancements in data science, machine learning, and statistical modeling techniques, and apply them to solve real-world challenges.

And you can check off:

• 3+ years of relevant experience;
• Proficiency with the Python programming language and SQL;
• Strong understanding of data science concepts and techniques, including predictive modeling, machine learning, and statistical analysis;
• A business-oriented mindset with the ability to translate technical findings into actionable insights;
• Proficiency in Agile software development practices, including code reviews, unit testing, git flow, and CI/CD.

Bonus points if you:

• Are experienced with BI and visualization tools (e.g., Looker, Tableau, Power BI);
• Are experienced with cloud platforms like AWS, Azure, or GCP;
• Have experience deploying machine learning solutions in production environments.

Here’s the deal:

• Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development;
• Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts, a physical coach and a gym to regular mental health checks;
• Tools of your choice: choose technical equipment and the tools you need to do your best;
• Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
• Convenient commuting: traveling from point A to point B can be a pain. That’s why, depending on your unique circumstances, we compensate part of your public transport costs;
• Work-life balance: as a general rule, we work based on a 3+2 hybrid model. And let’s not forget the WFA policy – an opportunity to work from anywhere in the world;
• Premium Surfshark accounts: for you, your family, and friends;
• Gross salary: 3310 - 6040 Eur/month for the Lithuanian market. It may vary depending on your skills, experience, or location.