Lead Data Scientist

Logic20/20 Inc.

• $178K — $200K *
US-AnywhereRemote in Seattle, WA
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10-15 years of experience as a data scientist with production-grade machine learning models using Python and SQL.
  • Experience leading complex analytics initiatives and making technical decisions.
  • Proficiency in Azure Machine Learning tools and platforms.
  • Strong client-facing consulting and stakeholder management skills.
  • Exceptional communication skills to convey complex ideas to varied audiences.
  • Experience across the full data science lifecycle from problem definition to model deployment.
  • Proven track record of leading projects in enterprise settings.

Responsibilities

  • Lead the design, development, and deployment of machine learning solutions.
  • Partner with stakeholders to translate business needs into analytical approaches.
  • Analyze complex datasets for insights and strategic decision-making support.
  • Develop and validate predictive and machine learning models.
  • Communicate findings and recommendations to both technical and non-technical audiences.
  • Mentor and provide technical leadership to data science teams.
  • Collaborate with cross-functional teams for complete solution delivery.
  • Establish best practices for model development and performance monitoring.
  • Contribute to project planning and execution for analytics initiatives.
  • Support business development through expert presentations and solution ideation.

Benefits

  • Competitive compensation package based on experience and qualifications.
  • Performance-based bonuses and incentives for eligible employees.
Full Job Description
Job Description

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.

What you'll do:
  • 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.


Qualifications
  • 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.

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.

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