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Mid Senior Data Scientist
2 miesięcy temu
Our Data Science team, working with Surfshark and Incogni products, is looking for a skilled Mid/Senior Data Scientist. Work challenges span from time series modeling and attribution models to NLP and generative AI.
We are dedicated to a value-driven approach and are deeply committed to contributing to the growth and success of our products. If you are enthusiastic about cybersecurity, data protection, and data science, we await your application
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;
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