--- title: 'Research Scientist - Information Theory and Statistical Inference at Evolver' canonical: 'https://feeny.ai/job/research-scientist-information-theory-and-statistical-inference-evolver-palo-rsw7wjz2gqmf' type: 'job' last_seen: '2026-09-16' --- # Research Scientist - Information Theory and Statistical Inference at Evolver - **Company:** Evolver - **Location:** Palo Alto, CA - **Posted:** 2026-09-10 - **Last confirmed live:** 2026-09-16 - **Apply:** https://job-boards.greenhouse.io/evolver/jobs/4402424009 ## Job description ## About Evolver Evolver is an AI technology company transforming professional services. We combine deep domain expertise, advanced AI, and continuous applied learning to automate complex enterprise workflows while keeping people involved where judgment matters. Our goal is to help organizations operate more efficiently, accurately, and intelligently. ## The Role Evolver is looking for a Research Scientist with a strong background in information theory, statistical inference, uncertainty quantification, or related mathematical methods. You will help develop methodologies for understanding how large-scale, heterogeneous enterprise data can be transformed into decision-relevant information, how uncertainty changes as new evidence is acquired, and how the value of information can be quantified. We welcome applications from exceptional recent graduates as well as experienced researchers. We care more about mathematical depth, research ability, and original thinking than years of industry experience. ## What You'll Do - Develop methods to quantify information content, information gain, uncertainty, redundancy, and information loss across complex data systems. - Develop mathematical approaches for determining which observations and data sources are most informative for downstream reasoning and decisions. - Apply information theory, Bayesian inference, statistics, and probabilistic modeling to heterogeneous enterprise data. - Study how information is preserved, compressed, combined, or lost as data is transformed into higher-level representations. - Develop methods for identifying information gaps and determining the value of acquiring additional evidence. - Build algorithms, prototypes, benchmarks, and evaluation methods for information-aware AI systems. - Collaborate with research, engineering, and product teams to translate new methodologies into real systems. ## Minimum Qualifications - Ph.D. or thesis-based Master's degree in Electrical Engineering, Applied Mathematics, Statistics, Computer Science, Operations Research, Information Science, Signal Processing, or a related quantitative field (Note: Please include the title of your thesis in your application and a brief summary of the problem, methodology, and your specific contribution). - Strong mathematical foundation in probability, statistics, information theory, or statistical inference. - Research experience in one or more of: - information theory - entropy and mutual information - Bayesian or statistical inference - uncertainty quantification - probabilistic modeling - signal processing - representation learning - active learning or experimental design - Strong Python, MATLAB, or equivalent scientific computing skills. - Ability to translate mathematical concepts into computational methods and working prototypes. There is no minimum number of years of industry experience. Strong candidates may demonstrate their capabilities through a thesis, publications, research projects, internships, open-source work, or relevant industry experience. ## Preferred Qualifications - Experience with information bottleneck methods, sufficient statistics, rate-distortion theory, value of information, compressed sensing, Bayesian experimental design, or probabilistic graphical models. - Experience working with large-scale, noisy, heterogeneous, or partially observed data. - Research publications or demonstrated research impact. - Experience connecting theoretical methods to real-world data or decision-making problems. - Familiarity with modern machine learning, representation learning, foundation models, or agentic AI systems. Deep prior experience with LLMs, RAG, prompt engineering, or specific agent frameworks is not required. Application In your cover letter, please include the title of your thesis and a brief summary of the problem, methodology, and your specific contribution. ## About Evolver Evolver is building intelligent enterprise systems that transform large volumes of heterogeneous data into structured information for reasoning and decision-making. We are looking for researchers who want to bring the foundations of information theory, statistical inference, and uncertainty into the next generation of AI. ## About Evolver ## Company Overview - **One-liner**: Evolver is a cybersecurity and digital transformation leader that provides advanced cyber defense, secure data environments, and intelligent software solutions for federal and commercial enterprises. - **Entity Type**: Private (no disclosed funding) - **Headquarters**: Reston, Virginia, USA - **Founded**: 2000 - **Founders**: Not publicly named ## Core Business - **Primary industries**: Cybersecurity, Digital Transformation, Information Technology Services, eDiscovery & Legal Services - **Target customers**: B2G (federal agencies such as DoD, DHS, USDA, CMS, NIH) and B2B (Fortune 500 commercial enterprises) - **Mission statement** (from their vision): To set the standard for excellence in Cybersecurity and Digital Transformation—empowering the nation’s most critical missions and enterprises to operate with confidence in unprecedented environments. ## Products & Services Evolver delivers integrated solutions across several domains: - **Cybersecurity**: Advanced cyber defense, proactive threat containment, and risk management to safeguard critical systems. - **Digital Transformation**: Modernization of IT infrastructure using AI, automation, cloud, and human-centered innovation. - **Managed Data & Technology**: Managed IT services to keep infrastructure and legal workflows secure and optimized. - **eDiscovery & Legal Services**: Technology-enabled legal support for eDiscovery and document management. - **Federal Solutions**: Tailored offerings for national security, defense, and civilian agencies (e.g., CMS-HIOS, USCIS-SOC, AOC programs). ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Annual revenue is not publicly reported; estimated employee count of “more than 500” nationwide (as per official site) - **Notable Investors/Partners**: Longstanding partnerships with the Department of Defense, Department of Homeland Security, Department of Agriculture, Centers for Medicare and Medicaid Services, National Institutes of Health, and Fortune 500 customers - **Growth Signals**: - 93% employee retention rate - Top 20% of all CPARS ratings on major federal programs - ISO 9001, ISO/IEC 27001, ISO 20000-1 certified; CMMI SVC/DEV ML3 appraised - Operates an Innovation Center and Catalyst Programs ## Competitive Advantages - **25+ years of mission-critical federal experience** with deep domain expertise - **Exceptional retention and employee expertise** (93% retention, top technologists and AI experts) - **Strong certifications and compliance** (ISO, CMMI) enabling access to sensitive government contracts - **Proven CPARS track record** consistently in top 20% across multiple programs ## Strategic Focus - **Current priorities**: Accelerating AI integration, strengthening cybersecurity posture, expanding digital transformation offerings for both federal and commercial clients - **Innovation engine**: Maintains an internal Innovation Center and Catalyst Programs to stay ahead of evolving threats and opportunities ## Why Work Here - **Culture**: Open, collaborative, trust-based environment emphasizing innovation and “bold thinking, relentless execution” - **Diversity & Inclusion**: Formal commitment to creating an inclusive workplace; equal opportunity employer - **Growth & Development**: Tuition reimbursement, continuing education, paid certification support, Communities of Interest/Practice - **Benefits**: Paid time off (vacation, sick, holidays, bereavement, civic duty), medical/dental/vision insurance, 401(k) with pre-tax and Roth options, paid parental leave, military leave, HSA/FSA, pet insurance, employee recognition programs - **Work Environment**: Not explicitly stated as remote or hybrid; typical for a federal contractor (likely hybrid with on-site requirements near Reston, VA, and client sites) - **Community**: Evolver CARES program for volunteerism and charitable giving ## Sources 1. [evolverinc.com](https://evolverinc.com/) – Homepage 2. [evolverinc.com/about](https://evolverinc.com/about/) – About page (history, certifications, vision) 3. [evolverinc.com/careers](https://evolverinc.com/careers/) – Careers page (benefits, culture, values) 4. [linkedin.com/company/evolver](https://www.linkedin.com/company/evolver) – LinkedIn company page (employee count, revenue estimate) ## Other roles at Evolver - [Research Scientist - Autonomous Systems](https://feeny.ai/job/research-scientist-autonomous-systems-evolver-palo-alto-8kjpd74n08k6) — Palo Alto, CA - [Enterprise Platform Architect](https://feeny.ai/job/enterprise-platform-architect-evolver-palo-alto-fd6vzecewrbw) — Palo Alto, CA - [Manager / Senior Manager, Tax AI Delivery & Implementation (Sales & Use Tax)](https://feeny.ai/job/manager-senior-manager-tax-ai-delivery-implementation-sales-use-tax-evolver-new-npag8ta280mc) — New York, NY - [Manager, Tax AI Product (Sales & Use Tax)](https://feeny.ai/job/manager-tax-ai-product-sales-use-tax-evolver-new-york-kvgpm630mj4p) — New York, NY - [Strategic Engagement Lead](https://feeny.ai/job/strategic-engagement-lead-evolver-palo-alto-n6bhz3pn2hk0) — Palo Alto, CA - [Domain Value Architect](https://feeny.ai/job/domain-value-architect-evolver-palo-alto-vvgy4yj5fs7a) — Palo Alto, CA - [Product Solutions Architect](https://feeny.ai/job/product-solutions-architect-evolver-palo-alto-jse14w9j6baa) — Palo Alto, CA - [Lead Senior Security Engineer (Enterprise AI Platform)](https://feeny.ai/job/lead-senior-security-engineer-enterprise-ai-platform-evolver-palo-alto-bsvz4wr2zb4c) — Palo Alto, CA - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-evolver-palo-alto-w03r19pm412m) — Palo Alto, CA - [Applied Data Science Intern](https://feeny.ai/job/applied-data-science-intern-evolver-palo-alto-aqgekhted99e) — Palo Alto, CA