Medior Data Scientist / ML Engineer
Core
Extract valuable insights from large datasets to drive stakeholder decision-making and support client strategic goals through predictive modeling and data analysis.
Role type
Mid-level data scientist / ML engineer (consulting)
Builds
Predictive models, scalable data solutions, and automated data infrastructure for clients.
Domain
Technology consulting and digital transformation
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Python, SQL, cloud platforms (Azure, AWS, GCP), Git, Docker
Preferred skills
R, BI tools, Databricks, mathematical optimization, MLOps/devOps, responsible AI, big data/distributed computing, ETL/ELT
Technologies
Python, R, Tableau, PowerBI, Hadoop, Spark, AWS, Azure, GCP, Databricks
Responsibilities
Transform raw data into actionable insights, design and optimize scalable data infrastructure, automate processes, develop microservices for data lakes, and communicate findings to stakeholders.
Seniority
Mid-level, hands-on IC
