
Data Scientist
Posted Jun 6

Posted Jun 6
This is a fully remote position, open to applicants in Poland.
β’ Collaborate with Product and Business Intelligence to translate business objectives into well-defined machine learning challenges with explicit success criteria and boundaries.
β’ Develop and implement models for segmentation, customer churn, lifetime value, and recommendations.
β’ Create evaluation frameworks that include offline benchmarks and online feedback mechanisms to ensure accurate model measurement.
β’ Work together with the Engineering team on production design elements such as latency, payload structure, fallbacks, and potential failure modes.
β’ Oversee model performance over time, identify drift, and manage retraining and iteration cycles.
β’ Leverage product telemetry and user feedback to facilitate ongoing improvements in model performance and features.
β’ Collaborate with AI coding agents to expedite development processes (including pipelines, testing, refactoring, and exploratory work) while ensuring human oversight.
β’ Present findings, trade-offs, and recommendations effectively to both technical and non-technical stakeholders.
β’ A minimum of 5 years of experience as a Data Scientist, Applied Scientist, or ML Engineer.
β’ Proficient in SQL and Python with hands-on experience in production machine learning.
β’ Background in churn analysis, segmentation, lifetime value modeling, or recommender systems.
β’ Comfortable working with production systems and APIs.
β’ Familiarity with AI coding tools and agentic workflows.
β’ Excellent communication skills with the ability to simplify complex technical concepts.
β’ Flexibility: A people-first approach that emphasizes outcomes over location or working hours.
β’ Collaboration: Work closely with Product, Engineering, and Business Intelligence in a dynamic and supportive environment.
Leega
Knowtion Health
Moniepoint Inc. (Formerly TeamApt Inc.)
Hitachi
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