Data Scientist, Specialist
Core
Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling, leading deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.
Role type
Senior IC data scientist (predictive analytics & statistical modeling)
Builds
Scalable data mining models, reporting protocols, and analytic insights for large strategic initiatives
Domain
Financial services (marketing, economics, operations)
Deliverable
production ML models | dashboards & analysis
Required skills
Python, R, SQL, machine learning libraries (Scikit-learn, TensorFlow), data pipelines, data wrangling, statistical techniques, big data environments (Spark/Hadoop), visualization tools (Tableau, Power BI)
Preferred skills
None stated
Technologies
Python, R, SQL, Scikit-learn, TensorFlow, Spark, Hadoop, Tableau, Power BI
Responsibilities
Develop complex queries and perform extensive programming to access, transform, and prepare data for statistical modeling; Leads and executes deep dive diagnostic, predictive, and prescriptive analytics; Identifies and diagnoses data inconsistencies and errors; Engages with internal stakeholders to understand business processes and translate requirements into an analytic approach; Guides test design, research design, and model validation; Prepares and delivers insight presentations and action recommendations to business leaders; Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets; Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations; Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.
Seniority
Senior, hands-on IC with mentorship responsibilities
