Lead Data Scientist
About The Position
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 stakeholder management skills. You will work closely with cross-functional teams to design analytical solutions, guide project delivery, mentor team members, and help clients translate data into actionable business outcomes. 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.
Requirements
- 10-15 years of experience as a data scientist, designing, building, and validating production-grade machine learning models using Python and SQL.
- Experience leading complex analytics initiatives and driving technical decision-making.
- Experience building solutions in Azure (Azure Machine Learning, MLflow, Azure Synapse, Microsoft Fabric).
- Strong client-facing consulting and stakeholder management experience.
- Exceptional communication and presentation skills, with the ability to explain complex concepts to both technical and business audiences.
- Experience working across the full data science lifecycle, from problem definition through model deployment and adoption.
- Demonstrated success leading projects in enterprise environments.
Nice To Haves
- 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.
Responsibilities
- Lead the design, development, and deployment of advanced analytics and machine learning solutions.
- Partner with clients and stakeholders to understand business objectives and translate requirements into analytical approaches.
- Analyze large, complex datasets to uncover insights, identify opportunities, and support strategic decision-making.
- Develop and validate statistical, predictive, and machine learning models.
- Communicate technical findings and recommendations to executive and non-technical audiences.
- Provide technical leadership and mentorship to data scientists, analysts, and cross-functional project teams.
- Collaborate with data engineering, product, and business stakeholders to support end-to-end solution delivery.
- Establish best practices for model development, testing, validation, documentation, and performance monitoring.
- Contribute to project planning, solution architecture, estimation, and delivery execution.
- Support business development efforts through technical expertise, solution ideation, and client presentations.
Benefits
- competitive compensation package
- performance-based bonuses
- other incentives
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What This Job Offers
Job Type
Full-time
Career Level
Senior
