Lead Data Scientist

Lead Data Scientist NYC (Onsite/Hybrid) W2 The Role We are seeking a Lead Data Scientist to join our team and drive advanced data science solutions for one of our clients. This is a client-facing leadership role, blending deep technical expertise with the ability to advise stakeholders, shape data strategies, and guide teams to deliver high-impact outcomes. You’ll work on cutting-edge problems in data analytics, machine learning, and predictive modeling, helping the client unlock the value of their data and enhance decision-making capabilities. Responsibilities: • Partner with stakeholders to define data science opportunities, shape problem statements, and deliver impactful solutions. • Lead end-to-end data science projects—from exploration and modeling to deployment and performance monitoring. • Mentor and guide a team of data scientists and data engineers; set best practices for modeling, experimentation, and validation. • Design and implement predictive models, optimization frameworks, and machine learning algorithms tailored to complex business use cases. • Develop and present compelling visualizations to convey complex data relationships through clear and insightful static graphics. • Communicate complex technical concepts clearly to senior stakeholders, clients, and non-technical audiences. • Collaborate with design and engineering teams to embed data science models into scalable digital products. • Stay ahead of industry trends, research, and emerging technologies in AI/ML, with a focus on practical business applications. Qualifications • 8+ years of experience in data science, including at least 2–3 years in a lead/principal role. • Strong background in applied machine learning, statistical modeling, and predictive analytics. • Proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch/TensorFlow) and SQL; experience with big data tools (Spark, Databricks) is a plus. • Strong understanding of model deployment, MLOps practices, and productionizing ML solutions. • Proven ability to create effective data visualizations for storytelling and decision support. • Excellent client-facing skills, with the ability to communicate technical concepts and business impact. • Master’s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. Nice to Have • Some fluency in blockchain and smart contract analytics.