Jobs · Engineering · Alaska

Senior Data Scientist (TS/SCI with Polygraph)

Red Alpha · Alaska, United States · 1 mo ago
On-siteEngineeringFull-time

Red Alpha is seeking a Senior Data Scientist with TS/SCI with Polygraph clearance. Please apply by filling out the provided form.

About the role

The successful candidate will lead complex data analysis projects, develop predictive models, and provide technical guidance to cross-functional teams. They will also mentor junior data scientists and contribute to the company's data strategy.

Responsibilities

  • Lead the design and implementation of advanced analytics solutions
  • Develop and maintain predictive models using statistical and machine learning techniques
  • Collaborate with cross-functional teams to understand business needs and translate them into actionable insights
  • Mentor junior data scientists and support their professional growth
  • Contribute to the development and execution of the company's data strategy

Requirements

  • PhD in Computer Science, Statistics, Mathematics, or a related field
  • 5+ years of experience in data science, machine learning, or a related field
  • Proven track record of developing and deploying predictive models
  • Experience with Python, R, and/or SQL
  • Strong understanding of statistical methods and machine learning algorithms
  • Excellent communication and collaboration skills

Qualifications

  • TS/SCI clearance with polygraph
  • Experience working in a high-tech or research environment
  • Ability to work independently and as part of a team

Skills

  • Data analysis and modeling
  • Statistical and machine learning techniques
  • Python, R, and SQL programming
  • Communication and collaboration skills

Benefits

Red Alpha offers a competitive salary, comprehensive benefits package, and opportunities for professional development.

Pay

Competitive salary based on experience and qualifications.

Schedule

Full-time position with flexible working hours.

Note: The exact details of the benefits package may vary based on the successful candidate's location and other factors.

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