Data Scientist 1
Core
Build predictive models (e.g., lead scoring), design analytic solutions, and translate data insights into actionable business strategies to support sales and operations.
Role type
Junior IC data scientist (sales/operations analytics)
Builds
Predictive models, analytic dashboards, and strategic recommendations for sales and operations teams
Domain
Fintech / Payments
Deliverable
production ML models
Required skills
Python, SQL, statistical analysis, hypothesis testing, A/B testing, Bayesian statistics, mixed effect modeling, causal inference, scikit-learn, data visualization, PySpark, Hadoop, BigQuery, cloud computing (AWS/GCP/Azure), ETL pipeline design
Preferred skills
Experience translating data insights into business strategies
Technologies
Python, SQL, scikit-learn, Tableau, Looker, Plotly, Dash, Matplotlib, Seaborn, PySpark, Hadoop, BigQuery, AWS, GCP, Azure
Responsibilities
Build new data models including predictive lead scoring; initiate, design, and deploy technical solutions and analytic models; collect and provide analytical information for weekly/monthly meetings; manage analytical projects from inception to delivery; execute complex business challenges; leverage data to deliver action-driving recommendations.
Seniority
Junior, hands-on IC