Data Scientist Lead
RB Global
Remote · Richmond, VA · Posted October 19, 2026
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Where Richmond, VA ranks
Where Richmond, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #5Cities with the most jobs that do not need a four-year degree in the Mid-Atlantic136 jobs · of 47
- #7Best cities for education pay after cost of living$85k · of 8
- #7Best all-round cities for new graduates in the Southeast59 / 100 · of 33
- #9Cities with the most jobs that do not need a four-year degree in the Southeast136 jobs · of 72
- #9Best cities for junior jobs in Virginia35% · of 26
- #10Best all-round cities for new graduates in the Mid-Atlantic58 / 100 · of 37
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
The Lead Data Scientist will play a key role in advancing the analytics and data science capacity of the organization. She/he will hire and manage a team of data scientists who deliver scalable machine learning and advanced analytics solutions across the organization. The new hire will need to work closely with IT, executive, and product teams to integrate these into enterprise-scale solutions. The Lead will work with business stakeholders to ideate and prioritize team initiatives while communicating the methods and impact of the methods.
Leverage a deep knowledge of data science, data engineering and statistics best practices to ensure that the most applicable solutions are developed.
Complete advanced analysis of the company’s customer and business data, data.
Nurture solutions through the whole chain (problem, ideation, data sourcing, experimentation, development, deployment, monitoring).
Manage and mentor data scientists with in-depth technical oversight to foster their development and a positive, learning team environment while ensuring all work meets the expected level of quality and performance.
Team management and oversight
Model Development, deployment and evaluation
Meeting with and advising stakeholders
Solving operational challenges with business units which are depended upon
Sourcing, cleaning and understanding data in collaboration with the data management group
Perform other duties as assigned
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.
2+ years managing and mentoring other data scientists and analysts
2 years of consulting or leadership experience as a data scientist
Excellent verbal and written skills in English
Exceptional attention to detail
Experience working on an Agile development team