Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs. Job Summary • Seeking a hybrid Cyber Threat Data Scientist / Computer Scientist to combine large-scale data analytics with cyber threat and network analysis • This position requires strong Python and Spark experience, familiarity working with large datasets, and a solid background in network and protocol analysis Primary Responsibilities • Analyze large-scale datasets supporting cyber and discovery missions • Develop Python-based analytical tools and automated workflows • Use Apache Spark or similar technologies for distributed data processing and analysis • Perform network and protocol analysis • Identify patterns, anomalies, relationships, and potential cyber threats within complex datasets • Use customer-specific analytical and cyber tools • Develop exploratory analytical approaches to uncover new mission insights • Collaborate with analysts, computer scientists, and cyber mission personnel Required Qualifications • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position • Strong Python experience • Experience using Spark • Experience working with large-scale datasets • Strong network-analysis background • Strong protocol-analysis experience • Ability to work effectively with specialized customer tools Desired Qualifications • Cyber threat analysis experience • Computer science or data science background • Demonstrated discovery-oriented or investigative analytical mindset Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.