Data Scientist
Core
Perform exploratory data analysis, feature engineering, and predictive modeling to provide actionable insights and strategic direction for business leaders.
Role type
Data Scientist
Builds
Predictive and prescriptive models for business projects
Domain
Fintech
Deliverable
production ML models
Required skills
Exploratory data analysis, feature engineering, predictive modeling, statistical testing, feature selection, sampling techniques, model comparison, data visualization, oral and written presentation, business problem identification, trend analysis, solution proposal, model validation, function/application development, model deployment partnership, project sequencing, best practices development, data collection, platform collaboration, mentorship
Preferred skills
None stated
Technologies
Hadoop, AWS, Azure, GCP, SQL, Python, C++, Java, statistical packages
Responsibilities
Analyze, manipulate, and process large sets of data; Develop predictive/machine learning models from structured and unstructured data; Identify methods for continuous and automated statistical testing; Apply feature selection algorithms; Apply sampling techniques; Compare models using statistical performance metrics; Create visualizations to convey results; Deliver presentations to stakeholders; Identify business problems addressable through data analysis; Identify relationships and trends; Propose solutions to business problems; Test, validate, and reformulate models; Write new functions or applications for analysis; Partner with machine learning engineers on model deployment; Communicate analyses and solutions; Sequence steps to deliver working models; Advise project teams on application improvements; Develop and evangelize best practices; Drive data collection and refinement; Collaborate with engineering and product teams on internal data platform; Mentor and train associate data scientists
Seniority
Mid-level, hands-on IC