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About the job

Job Description:

Sapient Logic is looking for a highly skilled Data Scientist to help solve complex national defense challenges through advanced analytics, machine learning, and large-scale data exploitation. In this role, you will work with mission-relevant data in secure environments, develop scalable analytical solutions, and deliver insights that support high-stakes decision-making for defense customers. This is a strong opportunity for a technically accomplished professional who wants to do meaningful work at the intersection of data science and national security. 

This is a full-time, in-person position. Candidates must be located in, or willing to relocate to, San Diego, CA; Oahu, HI; or Colorado Springs, CO before their start date.

Responsibilities:

  • Design, build, and maintain scalable data pipelines for ingesting, processing, and analyzing large datasets in distributed environments 
  • Develop and optimize complex queries for data retrieval and analysis within highly scalable sorted key-value store databases 
  • Analyze structured and unstructured data to identify trends, anomalies, and actionable insights that inform mission and business decisions 
  • Apply statistical analysis, machine learning, and predictive modeling techniques to solve complex operational and technical problems 
  • Partner with cross-functional teams, including data engineers, software developers, and IT specialists, to improve data architecture, scalability, and reliability 
  • Support the enhancement of data collection processes and help improve data quality across systems and workflows 
  • Build and refine analytics tools, models, and monitoring capabilities to evaluate system performance and data integrity 
  • Prepare clear reports, visualizations, and presentations for technical and non-technical stakeholders 
  • Contribute to data governance, compliance, and security practices, particularly in support of sensitive and mission-critical environments 
  • Stay current on emerging data science methods, technologies, and best practices relevant to defense and large-scale data operations 

Required Qualifications: 

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related technical field 
  • Minimum of 5 years of professional experience in a Data Scientist or closely related role 
  • Hands-on experience working with distributed key-value store databases, particularly technologies such as Apache Accumulo 
  • Strong programming skills in Python, Java, or Scala 
  • Proficiency with SQL and NoSQL databases, especially in large-scale data environments 
  • Experience with big data tools and ecosystems such as Hadoop, Spark, and Kafka 
  • Demonstrated success applying machine learning algorithms and statistical modeling techniques to large, complex datasets 
  • Strong analytical and problem-solving skills, with the ability to organize and interpret significant amounts of data with accuracy and attention to detail 
  • Excellent written and verbal communication skills, including the ability to explain complex technical findings to non-technical audiences 
  • Ability to manage multiple priorities and perform effectively in a fast-paced, mission-focused environment 
  • Active Top Secret clearance required 

 

Preferred Qualifications: 

  • 7+ years of experience with Python 
  • 7+ years of experience with SQL 
  • Experience supporting the Department of War or other national security customers 
  • Familiarity with data governance, security, and privacy requirements in secure computing environments 
  • Experience building analytics solutions that support operational decision-making in mission-critical settings

Job Type: Full-time

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental Insurance
  • Employee assistance program
  • Employee discount
  • Flexible spending account
  • Health insurance
  • Life insurance
 
 

Schedule:

  • 8-hour shift
  • Monday to Friday
 

 

 
 
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Retirement plan
  • Tuition reimbursement
  • Vision insurance
  • Bonus opportunities
  • Performance bonus
 
 

Work Location:

This role is 100% in person. To be considered, candidates must be able to work on-site in one of the following locations: 

  • San Diego, CA 
  • Oahu, HI 
  • Colorado Springs, CO 

Job Type: Full-time

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental Insurance
  • Employee assistance program
  • Employee discount
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Retirement plan
  • Tuition reimbursement
  • Vision insurance
  • Bonus opportunities
  • Performance bonus
  •  

Schedule:

  • 8-hour shift
  • Monday to Friday

Work Location:

This role is 100% in person. To be considered, candidates must be able to work on-site in one of the following locations: 

  • San Diego, CA 
  • Oahu, HI 
  • Colorado Springs, CO