Lead Data Scientist Job at Technify Talent, New York, NY

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  • Technify Talent
  • New York, NY

Job Description

Remote - must be UK-based 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. #J-18808-Ljbffr

Job Tags

Remote work

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