Senior Data Scientist – Platform Optimization (Snowflake / Databricks)

FinOpslyis an AI-native Value-Control platformfor cloud (AWS, AZ, GCP), data (Snowflake, Databricks), and AI economics, built to help enterprises move beyond passive cost visibility to active, outcome-driven control. The platform unifies technology spend across cloud infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks), and AI workloads into a single system of actioncombining planning, optimization, automation, and financial operations.

Were hiring a hands-on Data Scientist with deep application-level expertise in Snowflake or Databricks someone who understands how workloads behave, how platform services scale, and how architectural choices impact cost and latency.

This is not a generic ML role. It is applied optimization science for modern data platforms.

Analyze query history, warehouse/cluster utilization, and workload telemetry

Build anomaly detection models for cost spikes and performance degradation

Develop right-sizing and optimization recommendation engines

Translate platform signals into prescriptive, explainable insights

Partner with engineering to embed intelligence into customer-facing modules

Quantify measurable savings and performance gains

Build an advanced optimization and intelligence engine to reduce data platform costs, improve performance, and detect anomalies in real time.

5+ years in Data Science, Applied ML, or Performance Engineering

Deep expertise in Snowflake (warehouses, clustering, query plans, credit usage)

or

Databricks (Spark optimization, cluster sizing, Delta Lake, DBU usage)

Strong SQL + Python (pandas / PySpark / ML libraries)

Experience with time-series modeling and anomaly detection

Passion for optimization, automation, and measurable impact

You will help enterprises move beyond reporting into intelligent, automated value control where platform usage is continuously optimized, and every dollar of data spend is aligned to performance and business outcomes.

If you thrive at the intersection of data science, distributed systems, and cloud economics, this role is built for you.