Data Scientist Lead

RBGlobal•Richmond, VA

About The Position

The Lead Data Scientist will advance the organization’s analytics and data science capabilities by hiring and managing a team that delivers scalable machine learning and advanced analytics solutions. The role works closely with IT, executive, product, and business stakeholders to integrate solutions into enterprise-scale systems, identify and prioritize initiatives, and communicate analytical methods and their impact. The Lead oversees the full lifecycle of data science solutions, from problem definition and data sourcing through experimentation, development, deployment, and monitoring, while providing technical guidance and fostering a positive, learning-oriented team environment.

Requirements

10 years of demonstrated business impact through the conception, delivery, and scaling of machine learning and other analytic approaches, including machine learning and big data.
At least 2 years managing and mentoring other data scientists and analysts.
At least 2 years of consulting or leadership experience as a data scientist.
Excellent verbal and written English skills.
Exceptional attention to detail.
Experience working on an Agile development team.

Responsibilities

Apply data science, data engineering, and statistical best practices to ensure appropriate solutions are developed.
Conduct advanced analysis of company customer and business data.
Guide solutions through the full lifecycle: problem definition, ideation, data sourcing, experimentation, development, deployment, and monitoring.
Hire, manage, and mentor data scientists, providing technical oversight and supporting their development.
Ensure team work meets expected quality and performance standards.
Oversee team management and data science work.
Develop, deploy, and evaluate models.
Meet with and advise stakeholders.
Solve operational challenges with dependent business units.
Source, clean, and understand data in collaboration with the data management group.
Perform other duties as assigned.