Lead Data Scientist

Logic20/20, Inc.

. Lead the design, development, and deployment of advanced analytics and machine learning solutions .

Posted 9/23/2026full-timeRemote • Washington • United StatesSenior💰 $178,200 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and deploying machine learning solutions, with a strong focus on client engagement and stakeholder management. Proficient in leading complex analytics initiatives and providing technical leadership across cross-functional teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingSQL ProficiencyAzure Machine LearningClient-Facing Consulting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsStatistical ModelingPredictive ModelingData AnalysisModel ValidationAnomaly DetectionFailure PredictionRisk ModelingData Science LifecyclePerformance Monitoring

Soft Skills

Exceptional CommunicationPresentation SkillsStakeholder ManagementTechnical LeadershipMentorship

Tools & Technologies

Azure SynapseMLflowMicrosoft Fabric

Certifications & Qualifications

Master’s Degree in Machine LearningPhD in StatisticsPhD in Computer Science

Industry Keywords

UtilitiesEnergyInfrastructureAsset ManagementReliability

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

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 through technical expertise, solution ideation, and client presentations

Requirements

What you’ll need

10–15 years of experience as a data scientist
Experience 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, including Azure Machine Learning, MLflow, Azure Synapse, and Microsoft Fabric
Strong client-facing consulting and stakeholder management experience
Exceptional communication and presentation skills
Experience across the full data science lifecycle, from problem definition through model deployment and adoption
Demonstrated success leading projects in enterprise environments
Consulting experience and/or experience in utilities, energy, infrastructure, asset management, or reliability-focused industries highly preferred
Experience developing risk, reliability, asset health, anomaly detection, or failure prediction models preferred
Experience supporting model governance, validation, explainability, and operationalization efforts preferred
Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or a quantitative discipline preferred

Benefits

Comp & perks

Competitive compensation package
Performance-based bonuses and other incentives for eligible employees
Training, project opportunities, and mentorship
Supportive, globally connected work environment
Remote work option