Senior Data Scientist — AI/ML, Cloud & MLOps (Remote)

Cast AI; Warszawa; On-site; PLN 314,025 - 434,804; Full time

Benefits offered by this job

Private health insurance

Equity options

Remote-friendly culture

Learning budget for conferences

Job summary

Cast AI is seeking a Senior Data Scientist to drive operational excellence by building and productionizing sophisticated machine learning models. You will collaborate with ML and Data Engineers to deploy models and provide AI expertise across the organization.

Requirements include 5+ years in data science, experience with tabular and time-series modeling, and strong SQL and data-pipeline skills. You will work in a remote-first global environment with equity options and private health insurance.

Qualifications

• 5+ years hands-on data science experience with measurable impact.
• Experience in training tabular and time-series models using ML methods.
• Proficient in building data pipelines and running experiments.
• Advanced SQL skills and understanding OLTP vs OLAP concepts.
• Strong problem-solving and collaboration with teams.

Responsibilities

• Run experiments to refine models and improve outcomes.
• Develop ML models for both tabular and time-series data.
• Analyze data and deliver actionable insights for strategy.
• Collaborate with cross-functional teams to align projects.
• Stay current with data science and cloud DevOps trends.
• Master databases and optimize complex SQL queries.

Skills

5+ years data science

Time-series modeling

Tabular modeling

Data pipelines

SQL expertise

Analytical thinking

Tools

SQL

Python

MLflow

OLAP tools

Job description

Cast AI is seeking a Senior Data Scientist to drive operational excellence by building and productionizing sophisticated machine learning models. You will collaborate with ML and Data Engineers to deploy models and provide AI expertise across the organization.

Requirements include 5+ years in data science, experience with tabular and time-series modeling, and strong SQL and data-pipeline skills. You will work in a remote-first global environment with equity options and private health insurance.