Senior Data Scientist Location: Aurora, CO
Clearance: TS/SCI with CI Polygraph DeNOVO Solutions is seeking a Senior Data Scientist to support the analysis, characterization, and exploitation of complex mission data within advanced SIGINT and intelligence environments. This position will play a critical role in applying statistical methods, machine learning, data exploration, and analytical tradecraft to identify meaningful patterns, characterize previously unknown signals, and improve the confidence and accuracy of signal identification recommendations. The ideal candidate is an experienced data scientist who is comfortable working with large, complex, and often imperfect mission datasets. You will work closely with mission analysts, software engineers, AI/ML engineers, systems engineers, and government stakeholders to understand operational problems, develop analytical approaches, evaluate model performance, and translate data into actionable mission insight. Why You’ll Love This Role - Solve Real Mission Problems: Apply data science to complex SIGINT and operational datasets where analytical findings directly support mission outcomes.
- Explore and Understand the Data: Investigate patterns, relationships, anomalies, and characteristics within large volumes of signal and sensor data.
- Influence Model Development: Develop features, analytical approaches, and model recommendations that improve signal identification and classification.
- Work Directly with Analysts: Partner with mission users to understand operational context, validate findings, and continuously improve analytical approaches.
- Shape BUCKAROO’s Analytical Capability: Help establish the metrics, datasets, methodologies, and analytical standards used to evaluate and improve the system.
A Day in the Life - Exploratory Data Analysis: Analyze large and complex mission datasets to identify patterns, trends, anomalies, relationships, and emerging characteristics relevant to signal identification.
- Signal & Data Characterization: Evaluate signal attributes, metadata, historical observations, and associated mission data to identify discriminating characteristics and improve analytical understanding.
- Feature Development: Identify, develop, and evaluate meaningful features that improve classification, clustering, similarity analysis, and signal identification performance.
- Statistical & Machine Learning Analysis: Apply appropriate statistical, supervised, unsupervised, and semi-supervised techniques to investigate mission questions and develop analytical solutions.
- Model Experimentation: Design and conduct experiments to compare algorithms, features, datasets, thresholds, and analytical approaches before recommending solutions for operational implementation.
- Model Evaluation: Develop and assess performance metrics including precision, recall, false-positive rates, confidence, clustering quality, and other measures appropriate to mission objectives.
- Training Data Analysis: Evaluate training datasets for quality, completeness, representativeness, class imbalance, labeling consistency, bias, and other factors that may affect analytical or model performance.
- Trend Analysis: Develop analytical methods for identifying changes in signal characteristics, operational patterns, model performance, and population behavior over time.
- Analyst Collaboration: Work directly with SIGINT analysts and mission subject-matter experts to understand operational context, validate analytical findings, and incorporate analyst feedback into data science activities.
- Explainability & Communication: Translate complex statistical and machine learning findings into clear explanations, visualizations, metrics, and recommendations for technical and nontechnical stakeholders.
- Data Science Leadership: Mentor junior and mid-level data scientists, review analytical methodologies, and promote sound practices for experimentation, reproducibility, documentation, and scientific rigor.
- Cross-Functional Collaboration: Partner with AI/ML Engineers and Software Engineers to transition validated analytical methods and models into operational BUCKAROO capabilities.
Tools, Technologies, Skills, & Knowledge Data Science & Statistics - Exploratory data analysis
- Statistical modeling and inference
- Hypothesis testing
- Experimental design
- Regression and classification
- Clustering and dimensionality reduction
- Time-series and trend analysis
- Anomaly and outlier detection
- Probability and uncertainty analysis
Machine Learning - Supervised learning
- Unsupervised learning
- Semi-supervised learning
- Ensemble methods
- Classification and clustering techniques
- Model selection and performance evaluation
- Feature engineering and feature selection
- Model interpretability and explainability
Data & Analytical Technologies - Python
- Pandas
- NumPy
- SciPy
- Scikit-learn
- Jupyter
- SQL
- Visualization libraries such as Matplotlib, Plotly, or similar tools
- Experience with TensorFlow, PyTorch, XGBoost, or similar frameworks is beneficial when appropriate to the analytical problem but is not the primary focus of this position.
Mission Data Experience working with one or more of the following is highly desirable: - SIGINT data
- RF or waveform-derived data
- Sensor data
- Time-series data
- High-dimensional datasets
- Multi-source intelligence data
- Operational or mission-generated datasets
Analytical Practices - Data quality assessment
- Training data evaluation
- Reproducible analysis
- Model validation
- Analytical documentation
- Data visualization
- Communicating technical findings
- Agile development environments
- Git and collaborative development workflows
What You Need Experience:
Ten (10) or more years of progressive experience applying data science, statistics, machine learning, or advanced analytics to complex technical or mission problems. Ideal candidates will have demonstrated experience: - Performing exploratory analysis on large or complex datasets.
- Developing statistical or machine learning approaches to solve operational problems.
- Identifying and engineering meaningful features from complex data.
- Evaluating model effectiveness using quantitative performance measures.
- Working with incomplete, noisy, imbalanced, or imperfect datasets.
- Communicating analytical findings to technical teams, mission analysts, and decision-makers.
- Working collaboratively with software engineers or AI/ML engineers to transition analytical prototypes into operational capabilities.
- Experience supporting the Department of Defense, Intelligence Community, SIGINT mission, RF analysis, or similar mission environments is strongly preferred.
Education: Bachelor’s degree or higher in a quantitative discipline such as: - Data Science
- Statistics
- Mathematics
- Applied Mathematics
- Operations Research
- Physics
- Engineering
- Computer Science
- or a related quantitative field
A Master’s degree may substitute for two years of experience; a PhD may substitute for four years. An additional two years of related experience may substitute for a Bachelor’s degree. Certifications: None required. Clearance: Active TS/SCI with CI Polygraph. Salary Range $145,000.00 to $175,000.00 The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate's unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates. Why Join DeNOVO Solutions? At DeNOVO Solutions, we make improving the competitive position of our customer paramount in importance and work collaboratively to ensure the best service possible. DeNOVO Solutions provides cleared personnel and cost-competitive solutions to our customers. We strive to be the leader amongst small businesses in the Intelligence Community and provide personnel with talent and skills equal to the larger companies. As a Minority-Owned and Service-Disabled Veteran-Owned Small Business (MO/SDVOSB), we are dedicated to providing the best technical and professional services throughout the Intelligence Community. Our Benefits Package for Full-Time Employees Includes - Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus-up, cost-split plan.
- 401(k) with 6% Match.
- 11 Paid Federal Holidays.
- 120 hours of Paid Time Off (PTO).
- Company Outings and Trips.
- Tuition Reimbursement, Skillset Training, and New/Renewed Certification Assistance.
- HomeFundIt Company Down Payment Match — Employer match toward the down payment of buying a new home.
DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information, or any other protected characteristic under applicable law. Ready to Apply? If you are an experienced data scientist who enjoys finding meaning in complex data, solving difficult analytical problems, and working directly with mission users to improve intelligence outcomes, we would like to hear from you. Join DeNOVO Solutions and help advance the analytical capabilities behind BUCKAROO.
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