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# Data Scientist Lead - Remote / Telecommute

- **Company:** CYNET SYSTEMS INC.
- **Location:** Reston, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Mining, Machine Learning, Performance Tuning, Model Validation, Build Management, Information Technology
- **Published:** June 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us56f24214ff49641c043ab607a89c0e86

## About the Role

* Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.
 * 8+ years of relevant data science or analytics experience.
 * In lieu of a degree, 12+ years of relevant experience.
 * Strong expertise in statistical modeling and analytical techniques.
 * Advanced proficiency in SQL across multiple syntaxes.
 * Experience with model evaluation, tuning, and performance optimization.
 * Ability to operationalize and scale data science solutions.
 * Strong communication and documentation skills.

Preferred Qualifications:

 * Expertise in a wide range of data science tools and frameworks.
 * Experience supporting data exploration and advanced analytics initiatives.
 * Proven ability to design and deploy scalable machine learning solutions.

Skills and Competencies:

 * Leadership and mentoring capabilities.
 * Strong analytical and problem-solving skills.
 * Ability to translate complex data into actionable insights.
 * Effective communication with technical and non-technical stakeholders.
 * Strategic thinking with a focus on business outcomes.
 * Ability to manage multiple priorities and deliver high-quality results.

## Description

* Lead data science initiatives by applying advanced analytics, machine learning, and AI techniques to drive business insights and solutions.
 * Mentor team members and ensure delivery of scalable, high-quality data products aligned with organizational goals., * Lead data mining, data extraction, and application of algorithms to generate actionable insights.
 * Synthesize analytical findings and present insights to stakeholders and senior leadership.
 * Drive adoption and implementation of machine learning and AI solutions across the organization.
 * Apply AI techniques to solve business problems within data and resource constraints.
 * Mentor and develop junior data scientists to enhance analytical capabilities.
 * Translate business priorities into actionable data science deliverables.
 * Lead implementation of ML/AI/DS best practices for new data products.
 * Design and build scalable, robust data science solutions and software.


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