Lead Data Scientist Job Jacksonville area,Florida USA,IT/Tech

Role & responsibilities

Lead the design, development, and deployment of advanced machine learning and data science solutions.
Translate complex business problems into data-driven solutions and actionable insights.
Develop and optimize predictive models, statistical models, and AI/ML algorithms.
Work with large and complex datasets to identify trends, patterns, and business opportunities.
Lead end-to-end data science projects, from problem formulation and experimentation to production deployment.
Collaborate with engineering, product, business, and analytics teams to deliver scalable solutions.
Mentor and guide junior and mid-level data scientists and contribute to technical best practices.
Design and evaluate experiments, A/B tests, and model performance metrics.
Apply modern AI techniques, including deep learning, NLP, Generative AI, and LLM-based solutions where relevant.
Establish best practices for model development, validation, deployment, monitoring, and MLOps.
Present technical findings, model results, and business recommendations to senior stakeholders.
Stay current with emerging developments in AI, machine learning, data science, and cloud technologies.

Preferred candidate profile

5 to 10 years of relevant experience in Data Science, Machine Learning, AI, or a related quantitative field.
Strong proficiency in Python and SQL, with hands-on experience in machine learning and statistical modeling.
Strong foundation in statistics, probability, machine learning, and experimental design.
Experience building and deploying production-grade ML models and data products.
Hands-on experience with deep learning, NLP, Generative AI, or LLMs is preferred.
Experience with cloud platforms such as AWS, Azure, or GCP and modern data/ML platforms.
Familiarity with MLOps tools and practices, including MLflow, Docker, CI/CD, model monitoring, and model deployment.
Experience working with large-scale data using technologies such as Spark, Databricks, or equivalent platforms.
Strong problem-solving, analytical, communication, and stakeholder-management skills.
Demonstrated ability to lead projects independently and mentor other data scientists.
Bachelors or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or another quantitative discipline.
Strong business acumen with the ability to connect technical solutions to measurable business outcomes.