Define and implement the Data Science strategy aligned with business objectives, identifying and prioritizing high-impact use cases
Job Summary
Define and implement the Data Science strategy aligned with business objectives, identifying and prioritizing high-impact use cases.
Develop predictive and prescriptive models using advanced machine learning, deep learning, and NLP techniques, integrating GenAI for enhanced data processing and automation.
Lead, train, and mentor a team of junior Data Scientists, structuring projects and ensuring high-quality deliverables through MLOps practices.
Matching Summary
Define and implement the Data Science strategy aligned with business objectives, identifying and prioritizing high-impact use cases.
Skills & Requirements
Must-have
Python, R, Git, Airflow, Kubernetes, Docker
Azure, Databricks, Azure ML, Hadoop, Spark
pandas, scikit-learn, TensorFlow, PyTorch, NLP
SQL, MySQL, NoSQL databases
Power BI, Snowflake, DBT, Matplotlib, Seaborn
GenAI integration and automation
MLOps practices for industrialization
Nice-to-have
Natural leadership and organization
Innovation and challenging traditional approaches
Agile and collaborative environments
Ability to simplify complex concepts
Key Requirements
Minimum 6 years in a similar role with project and management experience
Experience with cloud platforms and big data technologies