Data Scientist Lead - Remote / Telecommute

CYNET SYSTEMS INC.
Reston, VA, United States
2 months ago

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.

Apply for this position

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