Data Scientist @ Britenet
(práce v Polsku)

Data Scientist @ Britenet

Polsko

• Minimum 5 years of experience in a Data Scientist role
• Experience in deploying machine learning models in a production environment
• Hands-on experience working with large datasets and large-scale models (BigQuery)
• Experience in integrating data from multiple sources and working with various data types: tabular, text (NLP), images, and time series
• Strong proficiency in Python and SQL
• Familiarity with Google Cloud Platform (GCP)
• Knowledge of Apache Airflow and Apache Spark
• Experience using Looker Studio for building reports and dashboards
• Strong understanding of statistical methods and machine learning algorithms
• Practical experience with tree-based algorithms (e.g., XGBoost, LightGBM, CatBoost)
• Ability to translate business challenges into machine learning problems
• Ability to independently define, test, and optimize ML models
• Willingness to propose your own solutions and approaches to data analysis
• Excellent communication skills – ability to explain complex technical topics to non-technical stakeholders
• Strong team player with a collaborative mindset and knowledge-sharing attitude

Project implemented for a client operating in the e-commerce sector.

,[Design, develop, and deploy machine learning models in production environments, Analyze large, diverse datasets (tabular, text, images, time series), Integrate data from multiple internal and external sources to build robust data pipelines and features for ML models, Conduct large-scale data analysis using tools such as BigQuery, ensuring scalability and performance, Apply advanced statistical methods and machine learning algorithms, Continuously improve and optimize existing models and data-driven solutions through testing and experimentation, Work cross-functionally with business stakeholders, product managers, and UX teams to define ML use cases and align technical solutions with business goals, Translate complex data and modeling outcomes into clear insights and recommendations for non-technical audiences, Create and maintain dashboards and reports using Looker Studio to monitor model performance and data quality, Propose new approaches, tools, or methodologies to enhance data science capabilities across the team] Requirements: Python, SQL, ML, BigQuery, Google cloud platform, Airflow, NLP, Spark, XGBoost, LightGBM, CatBoost Additionally: Sport subscription, Private healthcare, Free coffee, Canteen, Playroom, Free snacks, Modern office, No dress code.

Kategorie

data

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