Data Scientist II
Core
Collect data and apply data science techniques to uncover actionable insights and build analytics solutions that guide decision-making and strategic planning.
Role type
Mid-level data scientist (analytics & insights)
Builds
Analytics solutions and data-driven insights
Domain
Financial services / Banking
Deliverable
dashboards & analysis
Required skills
Data wrangling, statistical inference, Python programming, data visualization, business acumen, hypothesis testing
Preferred skills
Advanced degree in math, physics, engineering, finance, or computer science
Technologies
Python
Responsibilities
Translate business problems to viable data science solutions, extract insights from big data, visualize results for stakeholders, collaborate with engineers and analysts to develop scalable solutions, educate the organization on statistical validation methods.
Seniority
Mid-level, individual contributor
