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Lead Data Scientist
- Richmond, Virginia, United States
- Richmond, Virginia, United States
À propos
The Opportunity We’re supporting a growing technology business developing advanced AI-driven systems operating in complex, real-world environments.
Their platform brings together computer vision, geospatial analytics, and multi-source data to solve challenging problems around detection, tracking, and decision-making.
They’re now looking for a Lead Data Scientist / Chief Data Scientist to take ownership of the technical direction of data science and play a key role in shaping how advanced analytics is applied across the organisation.
The Role This is a high-impact, senior individual contributor role with significant technical ownership.
You’ll act as the technical authority for data science, working closely with the Data Science Manager and engineering teams, while contributing directly to solving complex modelling challenges.
You’ll have influence across:
Technical direction and architecture
Model design and approach
Best practices across the data science function
What You’ll Be Doing
Leading the technical direction of data science and machine learning
Designing and developing advanced models across computer vision, geospatial, and multi-source data
Working on problems involving data fusion, tracking, and real-time analysis
Supporting and mentoring data scientists across the team
Collaborating with engineering teams to deploy models into production systems
Driving best practices in model development, validation, and performance optimisation
What They’re Looking For
Strong background in machine learning and advanced modelling
Experience working across complex or real-world datasets
Strong Python skills and experience with modern ML frameworks
Experience contributing to production systems, not just research
Deep technical expertise in at least one area:
Geospatial / spatial analytics
Nice to Have
Experience with sensor data (radar, LiDAR, RF, imagery, etc.)
Knowledge of data fusion, tracking, or probabilistic modelling
Experience working in hardware-integrated or real-time environments
Previous experience mentoring or guiding other data scientists
If you’d like to learn more about the role, team, or technology, please apply directly to this advert and the team will be in touch.
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Compétences linguistiques
- English
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