Data Scientist (San Diego)

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.