onsite
Data Science Lead - Searchability NS&D
Data Scientist
Lead a high‑performing data science team, driving end‑to‑end analytics solutions on cloud platforms while ensuring robust DevOps practices and scalable data architectures.
About the role
Key Responsibilities
- Lead and mentor a multidisciplinary data science team, setting technical direction and ensuring delivery of high‑impact analytics projects.
- Design, develop, and maintain scalable data pipelines and platforms on cloud infrastructure, integrating with existing customer and public cloud environments.
- Implement DevOps practices for model deployment, monitoring, and continuous integration/continuous delivery (CI/CD) to accelerate time‑to‑value.
- Collaborate closely with product, engineering, and customer success teams to translate business requirements into data‑driven solutions.
- Ensure compliance with security and data governance standards, leveraging enhanced DV clearance for sensitive projects.
Requirements
- Proven experience leading data science teams in a cloud‑centric environment.
- Strong background in building and operating data platforms, including data lakes, warehouses, and streaming pipelines.
- Hands‑on expertise in DevOps tooling (CI/CD, containerization, orchestration) and cloud services (AWS, Azure, or GCP).
- Excellent communication skills with the ability to engage customers and translate technical concepts into business value.
- Active Enhanced DV clearance or ability to obtain it.
Skills
pythonmachine learningtensorflow