Senior Data scientist / ML Engineer
Core
Extract valuable insights from large datasets to communicate actionable steps to stakeholders and build predictive models.
Role type
Senior Data Scientist / ML Engineer
Builds
Predictive models, scalable data solutions, and optimized data infrastructure.
Domain
Technology consulting and digital transformation
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, cloud platforms (Azure, AWS, GCP), Git, Docker, Tabular ML, Computer Vision, NLP, Deep Learning, MLOps/DevOps, Project Management, Responsible AI
Preferred skills
R, BI tools, Databricks, Mathematical optimization, Big data/distributed computing, ETL/ELT
Technologies
Python, R, Tableau, PowerBI, Hadoop, Spark, AWS, Azure, GCP, Git, Docker, Databricks
Responsibilities
Transform raw data into usable insights, design and optimize data infrastructure, automate processes, ensure seamless data delivery, develop microservices for data lakes, and implement data solutions from concept to deployment.
Seniority
Senior, hands-on IC