Data scientist
Core
Design and implement data science solutions, develop machine learning models, and lead customer implementations to solve complex business challenges. (via careerplan.io/jobs/19-00F-57-377-data-scientist)
Role type
Senior customer-facing data scientist (machine learning & analytics)
Builds
Production ML models, predictive analytics workflows, and customer-facing analytical solutions
Domain
Financial services, fraud detection, risk analytics, compliance, and transaction monitoring
Deliverable
production ML models
Required skills
Python, PySpark, Apache Spark, ML lifecycle management, feature engineering, statistical modeling, SQL, large-scale data processing
Preferred skills
Cloud-based ML environments, anomaly investigation, model deployment and monitoring best practices
Responsibilities
Design and implement data science solutions; analyze large datasets to identify trends and insights; develop and optimize ML models; perform feature engineering; collaborate with Product, Engineering, and Customer Success teams; lead data science aspects of customer implementations and deployments; build technical relationships with customers; provide recommendations to improve products and algorithms; deliver training and knowledge transfer; support resolution of data-related challenges
Seniority
Mid-level, hands-on IC
