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Lead Data Scientist, Data Analytics - Lenovo
Data Scientist
Lead a data science team to design, develop, and deploy advanced analytics solutions using Python, Machine Learning, Spark, and AWS, driving data‑driven decisions across the organization.
About the role
Key Responsibilities
- Define and execute the analytics roadmap, translating business problems into scalable data science solutions.
- Lead a team of data scientists and analysts, providing technical mentorship and ensuring best practices in model development, validation, and deployment.
- Design, build, and productionize machine‑learning pipelines using Python, Spark, and cloud services (AWS) to support real‑time and batch analytics.
- Collaborate with cross‑functional stakeholders to identify high‑impact use cases, develop statistical models, and deliver actionable insights.
- Establish data governance, reproducibility, and performance monitoring frameworks for all analytical assets.
Requirements
- 5+ years of hands‑on experience in data science, with a proven track record of delivering end‑to‑end machine‑learning solutions.
- Strong proficiency in Python, SQL, and big‑data processing frameworks such as Apache Spark.
- Deep understanding of statistical modeling, experiment design, and evaluation metrics.
- Experience deploying models on AWS (SageMaker, EMR, Lambda) or equivalent cloud platforms.
- Excellent communication and leadership skills, with the ability to influence technical and business audiences.
Skills
pythonmachine learningsqlapache sparkaws