Senior Data Scientist || Remote | 12+ Years

We are seeking a Senior Data Scientist to drive the next generation of data-driven solutions. This role calls for deep expertise in data architecture, advanced analytics, and pipeline design. If you are a seasoned professional ready to lead initiatives, innovate with cutting-edge techniques, and deliver impactful data solutions, we d be excited to have you join our journey. Skills and experience you can bring to this role Qualifications & experience: • At least 3 years of commercial experience with Python, Data Stack (NumPy, Pandas, scikit-learn) and web stack (Fast API / Flask / Django); • Familiarity with one or more machine learning frameworks (XGBoost, TensorFlow, PyTorch); • Strong mathematical and statistical skills; • Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.); • Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc); • Knowledge of Amazon Web Services (AWS) ecosystem (S3, Glue, Athena); • Experience with at least one MMM or marketing analytics framework (e.g., Robyn, PyMC Merydian or similar); • Strong communication skills to explain technical insights to non-technical stakeholders. Nice to have: • Knowledge of digital advertising platforms (Google Ads, DV360, Meta, Amazon, etc.) and campaign performance metrics; • Exposure to clean rooms (Google Ads Data Hub, Amazon Marketing Cloud); • Familiarity with industry and syndicated data sources (Nielsen, Kantar etc); • Experience with optimisation techniques (budget allocation, constrained optimisation); • Familiarity with gen AI (ChatGPT APIs/agents, prompt engineering, RAG, vector databases). Educational requirements: • Bachelor s degree in Computer Science, Information Systems, or a related discipline is preferred. A Master's degree or higher is a distinct advantage.