Data Scientist (Senior)
Core
Translating business problems into data-driven and AI-enabled solutions by building data pipelines, developing machine learning models, and producing dashboards.
Role type
Senior IC data scientist (ML & data engineering)
Builds
Data pipelines, ML/AI models, dashboards, and reports
Domain
Technology / Data & AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow), AWS, PowerBI, QuickSight, Excel, EDA, feature engineering, applied statistics, ETL design, batch/streaming processing, Kafka, Spark, experiment design, model evaluation, data visualization, Git
Preferred skills
MLOps practices, data governance principles, drift detection, Azure, Generative AI/LLMs, AI agents, observability collaboration
Technologies
AWS, Azure, Kafka, Spark, PyTorch, TensorFlow, pandas, NumPy, scikit-learn, PowerBI, QuickSight, Git
Responsibilities
Translate business problems into data-driven and AI-enabled solutions; Perform exploratory data analysis to uncover patterns, issues, and opportunities; Design, build, and maintain data pipelines to support analytics and modelling use cases; Develop, train, evaluate, and iterate on machine learning and AI models; Apply appropriate model evaluation techniques and define success metrics; Support operational data workflows and resolve day-to-day data processing issues when required; Produce clear dashboards, reports, and visualisations for stakeholders; Collaborate closely with data engineering, AI platform, and observability teams to productionise solutions
Seniority
Senior, hands-on IC