Data Scientist II, Client Analysis
Core
Data Scientist driving revenue generation by analyzing massive customer datasets, explaining model performance, and creating data stories to help customers build optimal risk management policies.
Role type
Senior IC data scientist (client analysis & GTM partnership)
Builds
Actionable insights, data stories, automated analysis workflows, and ML models for risk management
Domain
Identity verification, fraud prevention, and risk analytics
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
supervised and unsupervised machine learning, Python, SQL, cloud platforms (AWS/Azure/Databricks/GCP), data storytelling, complex algorithm explanation
Preferred skills
identity verification and fraud prevention experience
Technologies
PySpark, Pandas, NumPy, H2O, SHAP, Seaborn, Jupyter, Redshift, Snowflake, S3, Databricks, Apache Spark, Airflow, Tableau, Looker, transformers, clustering, graph analytics, LLM workflows
Responsibilities
Analyze massive customer datasets to derive actionable insights and explain model performance; Act as a Data Science advocate to educate customers on risk challenges; Create convincing data stories to showcase fraud elimination and risk management benefits; Provide thought leadership for next-generation core models; Build tools and automated workflows to improve analysis speed and accuracy; Partner with GTM teams to identify upsell opportunities and product optimization; Build ML models to explore new approaches over established production models
Seniority
Mid-level (2+ years), hands-on IC