If you want to:
- Develop, deploy, and optimize predictive models to drive our product and business strategies, with a focus on high-impact projects like pricing strategy, fraud detection, abuse detection, churn modeling, and influencer onboarding strategy;
- Ensure model quality and performance by managing end-to-end processes from experimentation to deployment;
- 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;
- Continuously innovate by leveraging 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;
- A commitment to code quality and collaborative development, including code reviews, unit testing, and CI/CD practices.
Bonus points if you:
- Are experienced with BI and visualization tools (e.g., Looker, Tableau, Power BI);
- Are experienced with cloud platforms such as GCP, AWS or Azure;
- Are experienced with ML model deployment and management in production settings.
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.
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