> Markdown version of [/jobs/ext/251617-data-scientist-lead](https://www.wearedevelopers.com/jobs/ext/251617-data-scientist-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist Lead

- **Company:** CYNET SYSTEMS INC.
- **Location:** Columbia, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $158,038.0 - $168,438.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Health Informatics, Data Mining, Machine Learning, Performance Tuning, Salesforce.Com, Model Validation, Information Technology
- **Published:** May 21, 2026
- **Apply:** https://www.dice.com/job-detail/bffcc94b-ab54-49c5-a213-1667298e7bdb

## About the Role

* Minimum 8 years of relevant work experience required.
 * Strong experience with provider data, provider data accuracy, and provider data interactions with claims and claims platforms required.
 * Knowledge of Salesforce and Facets required.
 * Expertise in statistical modeling, machine learning, artificial intelligence, and data mining required.
 * Strong proficiency in advanced SQL across multiple syntaxes required.
 * Experience leading analytics and AI initiatives required.
 * Strong communication and stakeholder management skills required., * Previous experience reporting to leadership teams preferred.
 * Experience working remotely with distributed teams preferred.
 * Experience in healthcare analytics or claims-related environments preferred.
 * Knowledge of AI/ML operationalization and scalable data products preferred.

Skills:

 * Expertise in machine learning and artificial intelligence required.
 * Strong statistical modeling and data analysis skills required.
 * Advanced SQL querying and optimization skills required.
 * Experience with data science tools and frameworks required.
 * Strong analytical and problem-solving skills required.
 * Knowledge of model evaluation, tuning, operationalization, and scalability required.
 * Excellent verbal and written communication skills required.
 * Leadership, mentoring, and stakeholder management skills required.

Qualification and Education:

 * Bachelor s degree in Statistics, Mathematics, Computer Science, or related field required.
 * Instead of a Bachelor s degree, an additional 4 years of relevant work experience may be considered.
 * Advanced degree preferred.

## Description

* Lead data mining, data extraction, and advanced analytics activities to derive business insights.
 * Apply machine learning, artificial intelligence, and statistical modeling techniques to solve business problems.
 * Drive the proliferation and adoption of AI and ML solutions across the enterprise.
 * Develop analytical models and scalable AI solutions aligned with business goals and operational constraints.
 * Translate business priorities into actionable data science deliverables and solutions.
 * Synthesize analytical findings and present insights to senior executives and cross-functional teams.
 * Lead implementation of ML/AI/Data Science best practices for new data products and platforms.
 * Mentor and develop junior data scientists and analytics team members.
 * Collaborate with analytics, business units, and technical teams to support enterprise initiatives.
 * Support provider data analysis and interactions with claims systems and platforms.
 * Ensure scalability, operationalization, and performance optimization of analytical models and solutions.
 * Work effectively with remote and cross-functional teams to deliver project objectives.


## Related Videos

- [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)
- [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers)
- [Data Mining Accessibility](https://www.wearedevelopers.com/videos/802-data-mining-accessibility)
- [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)