- Driving data science effectiveness by evaluating analytical capabilities, conducting technique assessments, identifying methodology gaps, establishing performance metrics, and aligning with organizational business objectives.
- Leading continuous improvement initiatives through data process analysis, architectural enhancements, analytical workflow optimization, and capability enhancement roadmaps.
- Enhancing predictive modeling capabilities by designing implementation procedures, developing standardized approaches for different model types, establishing validation protocols, and coordinating cross-functional model deployment activities.
- Improving business intelligence through effective reporting templates, actionable data dashboards, real-time visualization mechanisms, and contextual insight distribution.
- Optimizing analytics tool usage by maximizing platform effectiveness, fine-tuning algorithms, synthesizing multi-source data, ensuring system integration, and recommending technical enhancements.
- Implementing data automation by identifying suitable processes, designing ETL workflows, developing code scripts, implementing automated analysis responses, and documenting procedures.
- Managing the data reporting lifecycle from collection to distribution, ensuring timely delivery, implementing feedback mechanisms, establishing archival procedures, and meeting compliance requirements.
- Fostering agile data science approaches through methodologies like analytics sprints, retrospectives, iterative development, and balancing innovation with governance requirements.
- Coordinating cross-functional data initiatives by serving as a liaison between teams, aligning analytics with organizational goals, facilitating knowledge sharing, and building stakeholder relationships.
- Leading data integration through architecture design, API implementation, data normalization, integration testing, and comprehensive documentation.
- Driving advanced analytics by developing collection strategies, implementing statistical techniques, creating insightful visualizations, designing KPIs, and leveraging data for strategic decision-making.
- Experience possessing in-depth knowledge of: Data science toolkits, data analytics and statistical analysis as well as data discovery, use and exploitation within multi-cloud environments.
- Experience with in-depth knowledge of standard data science languages (SQL, R, Python, Julia).
- Experience understanding Data integration and data management fundamentals and how to successfully adopt those for data science projects from development into production.
- Experience with understanding customer needs and visualizing data in the most effective way possible for a given project or study.
- Experience related to working with unstructured datasets.
- Experience with technical writing, ability to communicate complex data in simple, actionable ways.
Required minimum skills and knowledge:
- US Citizenship is required.
- Active Top Secret/SCI clearance with Polygraph.
- Bachelor's degree in computer science, data science, or a related field.
Multiple levels can be accommodated.
- Senior Level:
- Bachelor's degree + 6 years of experience OR Master's degree + 4 years of experience OR PhD degree + 2 years of experience
- Compensation: $117,800 - $184,100
- Expert Level:
- Bachelor's degree + 8 years of experience OR Master's degree + 6 years of experience OR PhD degree + 4 years of experience
- Compensation: $142,600 - $222,850
- IC experience is highly desirable.
- Experience with having successfully demonstrated the ability to independently conduct the appropriate analysis to offer recommendations, solutions, and alternatives to resolve issues, concerns, problems, or methods.
- Experience in establishing strong working relationships with program managers as well as organization leadership; tracking task order efforts to rapidly identify and resolve potential and new problems; and identifying and resolving administrative and contractual issues related to a support services contract.
- Ability to solve problems in a rapidly changing environment, and interface with customers directly.
- Strong understanding of intelligence disciplines, methodologies, and the intelligence cycle.
- Ability to work in a fast paced, dynamic, and team environment.
Noblis and our wholly owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us
Why work at a Noblis company?
Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace.
* Remote/hybrid status is subject to change based on Noblis and/or government requirements
Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total RewardsAt Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis total compensation package.
Posted Salary Range USD $117,800.00 - USD $222,850.00 /Yr.