Lead Data Scientist

Logic20/20 is seeking a Lead Data Scientist to join our Advanced Analytics & AI practice. This role will lead the development of innovative data science solutions that help clients solve complex business challenges through advanced analytics, machine learning, and data-driven decision-making. The ideal candidate combines deep technical expertise with strong consulting and communication skills. You will work closely with cross-functional teams to design analytical solutions, guide technical execution, mentor team members, and help clients translate data into actionable business outcomes. The role is a hands-on technical leadership position focused on solution design and execution, with program and project management owned by dedicated delivery leads. This is an opportunity to work on high-impact initiatives across industries while contributing to the growth of Logic20/20's data science and analytics capabilities. What you'll do: • Provide overall leadership and strategic direction for data science initiatives, shaping technical vision, priorities, and roadmaps and driving key technical decisions with clients and practice leadership. • Partner with clients to translate business objectives into advanced analytics solutions, leading solution architecture and design from concept through production. • Analyze large, complex datasets and develop, train, and validate statistical, predictive, and machine learning models. • Stay hands-on in Python, writing production-quality code and reviewing the team's code to uphold quality, maintainability, and reproducibility. • Establish best practices for model development, testing, documentation, and performance monitoring. • Mentor data scientists and analysts, and collaborate with data engineering, product, and business teams on end-to-end technical execution. • Communicate findings to executive and non-technical audiences, and contribute technical estimates and solution input to project planning and business development. Qualifications • 10-15 years of relevant experience in data science, software development, or a related field, including hands-on object-oriented programming (OOP) in Python and building production-grade models using Python and SQL. • Experience setting technical strategies and roadmaps, leading the technical execution of complex analytics initiatives, and driving technical decision-making. • Experience designing end-to-end solution architectures and building solutions in Azure (Azure Machine Learning, MLflow, Azure Synapse, Microsoft Fabric). • Advanced hands-on Python skills, with experience leading code reviews and enforcing coding standards, testing, and version control. • Experience working across the full data science lifecycle, from problem definition through model deployment, monitoring, and adoption. • Demonstrated success leading the technical delivery of data science solutions and mentoring data scientists and analysts in enterprise environments. • Strong client-facing consulting experience, including technical support for business development, with exceptional communication skills for technical and business audiences. Preferred Qualifications • Consulting experience and/or experience in utilities, energy, infrastructure, asset management, or reliability-focused industries is highly preferred. • Experience developing risk, reliability, asset health, anomaly detection, or failure prediction models. • Experience supporting model governance, validation, explainability, and operationalization efforts. • Master's degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline. Additional Information At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $178,200 - $200,000 for this role. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives.