Lead Data Scientist
Harnham
Remote · USA · Posted November 6, 2026
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Pay compared with the market
This listing does not state pay. Across 57 open lead data scientist listings that state pay, the middle half runs $156,500 to $185,500 and the median is $172,000.
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About the job
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Lead Data Scientist | AI & Machine Learning
Location: Remote – United States Salary: $190,000 Base + 15% Bonus Employment Type: Full-Time
The Opportunity
We are partnering with a leading technology-driven organisation operating at the intersection of artificial intelligence, data science, and education. With products used by millions of people, the business is investing heavily in advanced analytics, machine learning, and AI to deliver more intelligent, personalised digital experiences.
They are looking for a Lead Data Scientist to join a highly skilled team of Data Scientists, AI Researchers, and Software Engineers, helping develop and deploy sophisticated models that directly influence product innovation and user outcomes.
This is a hands-on technical leadership opportunity for someone who enjoys solving complex problems, taking ownership of projects from concept through production, and working collaboratively to turn advanced research into scalable, real-world solutions.
Key Responsibilities
Lead the development and implementation of advanced Data Science, Machine Learning, and AI solutions to solve complex business and product challenges.
Own the full lifecycle of predictive and statistical models, from initial research and experimentation through deployment, monitoring, validation, and optimisation.
Design innovative modelling methodologies and scalable frameworks to support intelligent, data-driven products.
Partner closely with Engineering teams to ensure models are integrated effectively into production environments.
Collaborate with Product, Engineering, and other stakeholders to translate business challenges into actionable Data Science solutions.
Provide technical mentorship and guidance to fellow Data Scientists, promoting best practices and technical excellence.
Communicate complex technical concepts and modelling outcomes clearly to both technical and non-technical audiences.
What We’re Looking For
PhD or equivalent advanced expertise in Data Science, Statistics, Applied Mathematics, Psychometrics, Quantitative Methods, or a related discipline.
4-7+ years of professional experience delivering impactful Data Science and Machine Learning solutions.
Strong Python programming skills, including experience developing scalable, production-quality code.
Proven experience taking ML/statistical models through the complete production lifecycle, including deployment, monitoring, validation, and recalibration.
Advanced understanding of statistical modelling, Machine Learning, and AI methodologies.
Experience collaborating with Software Engineering teams on system architecture, model integration, and scalability.
Ability to independently lead complex technical initiatives and navigate ambiguous business challenges.
Excellent communication skills and experience working with cross-functional stakeholders.
Highly Desirable
Experience within EdTech, educational assessment, adaptive learning, or digital learning platforms.
Knowledge of psychometrics, educational measurement, proficiency modelling, or personalised learning systems.
Experience developing adaptive or recommendation-based products.
Exposure to NLP, Deep Learning, Generative AI, or other emerging AI technologies.
Experience mentoring other Data Scientists or providing technical leadership.
What’s on Offer
$190,000 base salary + 15% annual bonus
Fully remote working across the United States
Opportunity to work on advanced AI/ML initiatives with real-world impact.
Technical ownership of complex, high-visibility projects.
Collaboration with an experienced multidisciplinary team of Data Scientists, AI Researchers, and Engineers.
Opportunity to influence the development of intelligent products used at significant scale.
Interested?
If you’re an experienced Data Scientist who enjoys combining advanced statistical modelling with hands-on production engineering, we’d love to hear from you.
Apply now to learn more about this opportunity.
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