AI, Python engineer
Core
Analyze large datasets, build data models, and apply machine learning to support business decision-making and operational requirements.
Role type
Data Analytics & Data Science Specialist
Builds
Dashboards, reports, data models, and data-driven solutions
Domain
Enterprise IT services, cloud data platforms, and digital transformation
Deliverable
production ML models | dashboards & analysis
Required skills
Data modeling, data transformation, machine learning, statistical analysis, predictive modeling, SQL, Python, R, cloud data platforms (Azure/AWS/GCP/Databricks/Snowflake), data visualization (Power BI/Tableau)
Preferred skills
Big data technologies, data governance, data architecture principles, cloud-based data ecosystems
Technologies
Azure, AWS, Google Cloud, Databricks, Snowflake, Power BI, Tableau
Responsibilities
Analyze and interpret large datasets using advanced analytics; design and maintain data models; apply machine learning techniques; perform data transformation and cleansing; prepare cost-benefit analyses; develop recommendations for stakeholders; manage end-to-end analytics projects
Seniority
Mid-level, hands-on IC