Data Scientist (She/ He/ They)
HybridWarsaw, Mazovia, Poland
Job Summary
Develop, validate, and optimize advanced time series forecasting and predictive models using Python, Azure Machine Learning, and Databricks. Build and deploy machine learning solutions while implementing MLOps processes for efficient lifecycle management. Support existing forecasting models, including those developed in R, and maintain robust analytical datasets ensuring data quality and governance standards. Collaborate with business stakeholders to translate requirements into scalable solutions and communicate modeling outcomes to technical and non-technical audiences. Contribute to Agile delivery practices and stay current with emerging trends in data science and cloud technologies.
Required Qualifications
- Poland based candidate
- Strong commercial experience as a Data Scientist or Machine Learning Engineer
- Advanced proficiency in Python
- Demonstrable experience developing Time Series Forecasting Models
- Strong understanding of statistics, probability, and predictive modelling techniques
- Experience with machine learning frameworks and model validation methodologies
- Proven ability to work with large and complex datasets
- Experience collaborating with cross-functional business and technical teams
- Strong communication and stakeholder management skills
Desired Qualifications
- Experience with Azure Machine Learning
- Experience with Databricks and distributed data processing
- Exposure to MLOps, CI/CD pipelines, and model monitoring
- Experience with R programming, including: RStudio, tidyverse (dplyr, tidyr), caret, randomForest, xgboost, ggplot2, Shiny
- Experience developing and supporting data pipelines
- Knowledge of Git/version control and Agile delivery methodologies
- Experience working with Geospatial Data and spatial analytics
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