Data Scientist Lead - Remote / Telecommute
CYNET SYSTEMS INC.
Reston, VA, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Data Analysis
Data Mining
Machine Learning
Performance Tuning
Model Validation
Build Management
Information Technology
Job 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.
Requirements
- 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.
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