Lead a high‑performing data science team on complex analytical projects using Scala, Spark and Hadoop, driving insights from large datasets while mentoring junior scientists.
About the role
Key Responsibilities
Design, develop and deploy scalable data pipelines and machine learning models using Scala, Spark and Hadoop ecosystems.
Lead a team of data scientists, providing technical guidance, code reviews and mentorship.
Translate business requirements into analytical solutions, presenting findings to stakeholders.
Ensure best practices in data quality, model validation and performance monitoring.
Collaborate with data engineering and product teams to integrate models into production workflows.
Requirements
PhD in Mathematics, Physics or a related quantitative field.
5–10 years of professional experience as a data scientist with a proven track record.
Strong expertise in Scala, Spark and Hadoop for big‑data processing.
Demonstrated experience managing and leading data science teams.
Excellent analytical, problem‑solving and communication skills.