Job Details

Akvelon is seeking a Senior Data Scientist for a remote role (Poland preferred) to build reliable production AI. Responsibilities include developing, validating, and monitoring ML models, collaborating with engineers, and translating insights for business teams.

Akvelon is looking for a Senior Data Scientist to join a team building the foundation for reliable production AI. This role sits at the intersection of statistics, ML, and production engineering: you won't just train models — you'll ensure they work reliably in real-world conditions. What you'll do: - Develop, validate, and tune ML models for business use cases - Collaborate closely with engineers to design models with deployment in mind - Design experiments and conduct statistical quality assessments - Monitor models in production: drift, accuracy, reliability - Build dashboards and translate insights for product and business teams - Contribute to deployment pipelines and APIs for ML systems - Provide recommendations on model retraining and improvement

5+ years applying ML and statistics to business problems Strong Python: pandas, scikit-learn, PyTorch/TensorFlow Deep knowledge of statistical methods: supervised/unsupervised learning, experimental design Proficient SQL + experience with Snowflake Hands-on experience with AWS and understanding of model deployment/monitoring workflows Excellent communication skills: bridge between technical teams and business stakeholders Proactive mindset and ability to thrive in cross-functional teams Nice to have: - Experience with R, Java, or Go - Production ML workflows, telemetry, or GenAI systems - Data visualization and business storytelling skills - Mentoring experience and driving DS standards within a team

Fully remote work (Poland preferred), schedule aligned with 10 AM PST overlap Employment from day one, flexible hours Full hardware provided (laptop, monitor, etc.) English and local language courses, mentorship programs Certification fees covered + bonus for passing Conference participation, internal trainings, company library access Team buildings and corporate events