About the job
Key Responsibilities
As a Senior Data Scientist, you will lead the design and implementation of sophisticated data models and algorithms tailored to our client-specific solutions. You'll identify and analyze challenges within an analytical framework.
Engage in critical projects involving large datasets, collaborating closely with senior stakeholders to define project scope and objectives.
Architect, develop, and manage complex data pipelines and dashboards, ensuring efficient data flow and accessibility.
Contribute to a variety of data-centric components, including data platforms, dashboards, and products related to Data and Machine Learning.
Serve as an expert across diverse technology stacks (e.g., Azure, AWS, GCP, DBX, ELK, Spark, Databricks).
Make strategic decisions regarding technology stacks and methodologies to optimize data processes.
Mentor and guide Junior and Mid-Level Data Scientists, fostering their professional growth.
Drive innovation and technical development, enhancing data science processes and methodologies across the team.
What We Offer
Regular and systematic training opportunities (both internal and external) in Data Engineering, Cloud Architecture, and Data Science.
Access to cross-industry projects with large and medium enterprises in sectors such as Banking, Insurance, Automotive, Retail, and more.
Partnerships with industry leaders in Cloud, BI, and AutoML.
Work in a collaborative environment that encourages innovation and creativity.

