Senior Data Scientist – Defense ML & Analytics

Sigma Defense Systems LLC

San Diego (CA)

On-site

USD 130,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Dental and Vision Insurance
Medical Insurance including HSA, FSA, DFSA Plans
Life and AD&D coverage
Employee Assistance Program (EAP)
401(k) Plan with Company Matching Contributions
160 Hours of Paid Time Off (PTO)
12 (Floating) Holidays
Educational Assistance
Highly Competitive Salary

Job summary

Sigma Defense Systems LLC is seeking a skilled Data Scientist to join their team in San Diego, California. The ideal candidate will have substantial experience in data-driven solutions and a master's degree in a related field. Responsibilities include analyzing data, developing insights, and communicating findings to enhance operational efficiency.

The role offers a competitive salary range of $130,000 - $150,000 annually along with a comprehensive benefits package that includes medical insurance, paid time off, and educational assistance.

Qualifications

  • 5+ years of experience developing, analyzing, or deploying data-driven solutions.
  • Experience with machine learning or AI enabled systems.
  • Must be a U.S. citizen.

Responsibilities

  • Collects and analyzes statistics and information from multiple sources to spot trends.
  • Communicates data findings to influence business approaches and challenges.
  • Collaborates with database engineers and scientists on data management processes.

Skills

Data-driven solutions development
Python programming
Data analysis and visualization
Machine learning
Version control systems (e.g., Git)
Natural language processing
Containerized environments (e.g., Docker, Kubernetes)

Education

Master’s degree in Data Science, Analytics, Computer Science or related field

Job description

Sigma Defense Systems LLC is seeking a skilled Data Scientist to join their team in San Diego, California. The ideal candidate will have substantial experience in data-driven solutions and a master's degree in a related field. Responsibilities include analyzing data, developing insights, and communicating findings to enhance operational efficiency.

The role offers a competitive salary range of $130,000 - $150,000 annually along with a comprehensive benefits package that includes medical insurance, paid time off, and educational assistance.

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