Sr Lead Data Scientist

Beacon Hill was founded to set a new standard in search, career placement and flexible staffing. Description of Role/Responsibilities: Beacon Hill is looking for an experienced Sr lead Data Scientist to support one of our clients in a high-impact, senior-level role. This individual will serve as both a technical leader and hands-on contributor, responsible for designing, building, and delivering advanced data science solutions from the ground up.

The ideal candidate brings deep expertise in forecasting, modeling, and pricing or revenue optimization systems, with the ability to quickly step in and drive meaningful results with minimal ramp-up.This role requires a highly skilled professional who can operate at scale-effectively functioning as a senior lead while taking on complex individual contributor responsibilities. You will work across the full data science lifecycle, translating ambiguous business challenges into actionable, data-driven solutions, while partnering with stakeholders to deliver measurable impact.

Success in this role requires strong ownership, speed, and the ability to thrive in a fast-paced, high-demand environment where priorities evolve quickly.Candidates must be highly proficient in modern data science tools and technologies, including generative coding assistants, and leverage them to enhance efficiency and output. This is an opportunity for a top-tier data science professional to step into a critical role, drive innovation, and make an immediate difference.Required Skills10+ years of experience in data science roles with progression into senior/principal-level ownership, including leading complex initiatives end-to-end.Proven ability to write production-level code from scratch and deliver scalable, high-impact solutions.Advanced proficiency in Python (or R) for modeling, data manipulation, and production workflows; strong proficiency in SQL for complex data analysis.Deep expertise in forecasting, statistical modeling, measurement methodologies, and mathematical optimization techniques.Strong optimization research background required, with hands-on experience developing and implementing optimization models in enterprise-scale environments.Hands-on experience building and deploying pricing, revenue optimization, or decisioning systems.Experience building predictive/statistical models and feeding outputs into optimization engines to drive prescriptive decision-making.Demonstrated experience working on prescriptive analytics teams, with a focus on optimization rather than traditional predictive machine learning alone.Experience with optimization techniques such as linear programming, mixed-integer programming, nonlinear optimization, simulation optimization, or related methodologies.Demonstrated ability to lead technical delivery while actively contributing as an individual contributor.Experience owning the full data science lifecycle (data acquisition, feature engineering, modeling, validation, deployment).Ability to work with large, complex, and unstructured datasets, including data cleansing, transformation, and validation.Strong background in ETL/ELT processes and building repeatable data pipelines.Ability to quickly ramp and deliver impact with minimal oversight or training.Experience using modern development tools, including coding assistants and collaborative workflows.Strong analytical and problem-solving skills, with the ability to translate ambiguous business problems into data-driven solutions.Proven ability to manage multiple high-priority initiatives in fast-paced environments.Strong communication skills with the ability to influence stakeholders and clearly explain complex models and trade-offs.Must be highly proficient with generative coding assistant tools and actively leverage them to improve development speed, efficiency, and code quality; candidates without practical experience using these tools will not be considered a fit.Experience delivering enterprise-level optimization solutions th