Lead Data Scientist

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Experience:

We are looking for a skilled Data & ML Platform Engineer to drive performance tuning, system reliability, and automation across our data infrastructure. You'll collaborate with development teams, manage data platforms, and lead capacity planning efforts. A strong focus on operational excellence, automation, and scalable system design is essential.

Key Responsibilities:

• Analyze OS/application metrics for performance optimization and fault resolution
• Collaborate on testing, release, and CI/CD for data services
• Lead capacity planning and platform management initiatives
• Automate processes and uplift infrastructure for long-term sustainability
• Ensure system reliability while supporting fast-paced feature development

Required Skills:

• Proficient in Python/R, Hadoop, Spark, MySQL
• Experienced in ML, NLP, anomaly detection, time-series analysis
• Hands-on with ETL, dashboards (Domo, Alteryx), and ITSM tools (BMC Remedy)
• Skilled in Linux data environments, JupyterHub, Kubernetes, AI/ML platforms
• Working knowledge of CHEF and data edge node management
• Experience with Airflow for workflow automation