Data Scientist

Overview:

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 .

Key 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

Compensation:

Salary Range:  $100,000 - $160,000 annually

Compensation will be based on a variety of factors, including experience, technical expertise, education, clearance status, and overall alignment with the role.

Benefits:

Sapient Logic offers a competitive benefits package that includes:

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

Schedule:

• 8-hour shift
• Monday to Friday
• Full Time

Work Location Requirement:

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

Ability to Commute:

Must be able to reliably commute to one of the approved in-person work locations listed above.

Ability to Relocate:

Candidates who do not currently reside in one of these locations must be willing to relocate to  San Diego, CA; Oahu, HI; or Colorado Springs, CO  before starting employment.