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Full Stack Data Science Engineer - Salute Mission Inc.
Data Scientist
Design and operate end‑to‑end data platforms, build predictive models, and deliver client‑facing analytics using Python, Spark, and cloud services for hyperscale data center customers.
About the role
Key Responsibilities
- Architect and maintain sovereign data lake solutions and scalable ETL pipelines using Spark, SQL, and cloud storage.
- Develop, train, and deploy machine‑learning models that drive predictive insights for hyperscale clients.
- Build full‑stack analytical products, including APIs, dashboards, and reporting tools, to surface data science outcomes.
- Containerize services with Docker and orchestrate deployments on Kubernetes within AWS environments.
- Collaborate with client engineering teams to integrate analytics into their workflows and provide technical support.
Requirements
- 5+ years of experience in data engineering and data science, with strong Python programming skills.
- Proficiency in SQL and big‑data processing frameworks such as Apache Spark.
- Hands‑on experience with Docker, Kubernetes, and AWS (EC2, S3, SageMaker, etc.).
- Demonstrated ability to develop, evaluate, and productionize machine‑learning models.
- Excellent problem‑solving and communication skills for client‑facing interactions.
Skills
pythonsqlapache sparkdockerkubernetesawsmachine learning