Data Science Engineer

13 godzin temu

Warszawa, Mazovia, Polska Kalepa Pełny etat

About Kalepa:

Commercial insurance is a trillion-dollar industry that relies heavily on manual processes and outdated technology.

Kalepa is revolutionizing this space by leveraging cutting-edge AI to empower underwriters to make informed, data-driven decisions. Our state-of-the-art AI Copilot platform delivers real results, enabling insurers to improve their top and bottom lines significantly.

Kalepa's team members bring expertise from top tech companies, including Facebook, Google, Amazon, Mastercard, and Uber. Backed by leading VCs like IA Ventures and Inspired Capital, we're poised for significant growth.

Our Values:

We believe in creating an environment where our employees can thrive. Our values are designed to unlock the potential of our team members.

Success at Kalepa:

  • Hustle & Grit: We expect everyone to be excellent at what they do and relentless in pursuing their craft. This is how we achieve exceptional speed and determination.
  • Customer Focus: We prioritize work that drives our clients' growth, profitability, and efficiency. We solve our customers' most strategic problems.
  • Meritocracy: Exceptional people excel here, and we reward tremendous results with rapid promotions and compensation growth.
  • Transparency: We're honest with each other. No back-office politics or keeping employees in the dark.
  • Experimentation: We tackle complex problems by quickly testing, measuring, and iterating to find the path to success.

With remote employees speaking 10+ languages across the globe, we invest in bringing our teams together through regular meetups and offsites. If you're looking for a challenging role that offers opportunities for growth, consider joining us.

About the Role:

Kalepa is seeking a Data Science Engineer to lead the development and deployment of machine learning models at scale. As a key member of our team, you'll own projects from start to finish, working closely with Product Management and Software Engineers.

Key Responsibilities:

You will turn vast amounts of structured and unstructured data into novel insights about behavior and risk. Collaborate with a small team designing, building, and deploying machine learning models to tackle our customers' questions. Work closely with full-stack, data, and DevOps engineers to bring your models to production.

Requirements:

Minimum 2 years of experience in applied machine learning algorithms, especially NLP, and statistics. In-depth understanding of Python and its major data science libraries. Experience deploying models and algorithms in production. Comfort with data science and engineering required to bring your models to production.

Bonus Requirements:

Experience with AWS (nice-to-have). Hands-on experience with data analytics and data engineering (nice to have). Excitement about using a comprehensive set of technologies, ultimately focused on finding the right tool for the job.

Benefits:

We offer very competitive base salary and a significant equity options package. 20 paid vacation days a year, Paid Bank Holidays, Unlimited Sick Leave (+parental leave), Gym Reimbursment LuxMed comprehensive package, Mobile phone bill reimbursement, Continued learning, Quarterly teams offsites in global locations.

Recruitment Process:

Application, Verification, Task, Preliminary Call, Technical Phone Interview, Culture Fit Interview, Face-To-Face Stage, References, Offer, Welcome.

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