--- title: 'Lead Data Scientist (TS/SCI) at MORSE Corp' canonical: 'https://feeny.ai/job/lead-data-scientist-ts-sci-morse-corp-cambridge-ma-arlington-e87xx0mf9tx8' type: 'job' last_seen: '2026-09-12' --- # Lead Data Scientist (TS/SCI) at MORSE Corp - **Company:** MORSE Corp - **Location:** Cambridge MA Arlington, VA - **Compensation:** $90k–$210k - **Posted:** 2025-09-25 - **Last confirmed live:** 2026-09-12 - **Apply:** https://boards.greenhouse.io/morsecorp/jobs/7111976003?gh_jid=7111976003 ## Job description MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is searching for a Lead Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems. Responsibilities: - Define goals and expectations for algorithm T&E performance - Research artificial intelligence data splitting, metrics, and T&E methodology - Lead strategy and coordination with algorithm development vendors - Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results - Present a path forward and solutions to solve complex data problems - Work with MORSE’s current team of engineers and scientists to transition algorithms to software applications and real-time embedded systems. Requirements: - US CITIZENSHIP REQUIRED and an Active Top Secret U.S. Security Clearance with SCI eligibility (TS/SCI) - Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field - 7+ years of experience in Data Science, Artificial Intelligence, or Machine Learning - Expertise in artificial intelligence, machine learning, and data science - ## Experience in algorithm development and testing - Excellent communication and presentation skills - Self-starter and driven - Ability to be onsite 4-5 days/week MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance. Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy. ## Compensation $90,000—$210,000 USD The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit [www.morsecorp.com](http://www.morsecorp.com). ## About MORSE Corp ## Company Overview - **One-liner**: MORSE Corp (Mission Oriented Rapid Solution Engineering) is an employee-owned engineering services firm that applies asymmetric, unconventional approaches to solve complex, multi-disciplinary problems for the U.S. National Security Ecosystem. - **Entity Type**: Private (Employee-Owned, No External Investors) - **Headquarters**: Cambridge, Massachusetts, United States - **Founded**: 2014 - **Founders**: Bobby Cohanim (Co-Founder); other co-founders not publicly identified ## Core Business - **Primary Industry**: Defense and Space Manufacturing; National Security Technology - **Target Customers**: U.S. Government agencies (DoD, IC, etc.) – B2G / Enterprise - **Mission / Purpose**: “Use asymmetric and unconventional approaches to deploy practical solutions that solve difficult multi-disciplinary problems faced by the US National Security Ecosystem.” [morsecorp.com](https://www.morsecorp.com/about.html) ## Products & Services MORSE is primarily a services-and-engineering firm, not a product company. Its offerings span: - **AI/ML & Data Science**: Machine learning, computer vision, data analytics for defense applications. - **Mission Planning & Situational Awareness**: Algorithm and software development for manned/unmanned systems. - **Test & Evaluation**: Human-centered design, rapid prototyping, field testing in operationally representative conditions. - **Systems Integration & Platform Engineering**: FabOps, platform integration, decision systems, vehicle AGN&C (Autonomous Guidance, Navigation & Control). - **Software Development**: Full-stack, cloud, and autonomy software (tech stack includes AWS, Kubernetes, Docker, Terraform, GitLab, Rust, Confluence, JIRA). [builtin.com](https://builtin.com/company/morse-corp) ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed (private, no investors) - **Key Metric**: Annual revenue ~$19.9M (LinkedIn estimate); Total employees 172 (LinkedIn) or 195 (Built In) as of mid-2026. - **Notable Investors / Partners**: None – company is 100% employee-owned with no external funding. Key talent sources include Draper, MIT Lincoln Laboratory, Northeastern University, Aurora Flight Sciences, and GE Aerospace. - **Growth Signals**: - Headcount growth of +16% YoY (LinkedIn) - Active job postings up +169% year-over-year - Quarterly job posting growth +20.7% - LinkedIn followers surged +261.4% in the past year to over 16,000 [linkedin.com](https://www.linkedin.com/company/morse-corp) ## Competitive Advantages - **100% employee-owned** – no external investors, focus on long-term success and mission alignment. - **User-centered development process** that continuously engages with end-users, ensuring products fit operational constraints rather than forcing users to adapt. - **Unlimited Government Data Rights** – a key differentiator for defense clients. - **Lean and agile** – efficient, small-team approach while maintaining rigor. - **Strong talent brand** – “the smart team that’s easy to work with” [morsecorp.com](https://www.morsecorp.com/about.html) ## Strategic Focus - Continue expanding capabilities in AI/ML, autonomy, and test & evaluation for the national security community. - Scale headcount while preserving an employee-owned culture and flexible hybrid work model. - Deepen presence in Cambridge (MA), Arlington (VA), and Seattle (WA) offices. - Maintain a “mission first” ethos that attracts top engineers and scientists from leading universities and defense labs. ## Why Work Here - **Culture**: Mission-driven, fun, and collaborative. Quarterly company outings, game nights, happy hours, stocked kitchen. - **Work Model**: Hybrid – most staff are in-office 3+ days per week; flexible hours and open PTO policy. - **Compensation & Benefits**: Employee equity, 401K with employer match, performance bonuses, health/dental/vision insurance, flexible spending accounts, short & long-term disability, life insurance, generous parental leave with re-entry program, commuter benefits, gym membership, Blue Bike membership. - **Professional Development**: Tuition reimbursement, conference attendance, lunch-and-learns, job training, continuing education during work hours. Mean gender pay gap below 10%; strong DEI practices. - **Offices**: Kendall Square (Cambridge), Ballston (Arlington), Westlake (Seattle) – all in vibrant tech hubs with transit access. - **Tech Stack**: Modern tools including AWS, Kubernetes, Docker, Terraform, GitLab, Rust, Python, JIRA, Confluence. [builtin.com](https://builtin.com/company/morse-corp) ## Sources 1. [MORSE Corp – Homepage](https://www.morsecorp.com/) 2. [MORSE Corp – About Us](https://www.morsecorp.com/about.html) 3. [MORSE Corp – Jobs & Careers](https://www.morsecorp.com/jobs.html) 4. [MORSE Corp on Built In](https://builtin.com/company/morse-corp) 5. [MORSE Corp on LinkedIn](https://www.linkedin.com/company/morse-corp) ## Other roles at MORSE Corp - [Electrical R&D Technician](https://feeny.ai/job/electrical-r-d-technician-morse-corp-cambridge-q6445g5afv9d) — Cambridge, MA - [Contracts Specialist](https://feeny.ai/job/contracts-specialist-morse-corp-cambridge-z2tq0ckmqppq) — Cambridge, MA - [IT and Network Security Engineer](https://feeny.ai/job/it-and-network-security-engineer-morse-corp-cambridge-1wn8g5cz6n17) — Cambridge, MA - [Information System Security Manager (ISSM)](https://feeny.ai/job/information-system-security-manager-issm-morse-corp-cambridge-aw2jjxhyhnxs) — Cambridge, MA - [C++ Software Engineer](https://feeny.ai/job/c-software-engineer-morse-corp-cambridge-3sy3rcdp306g) — Cambridge, MA - [Bayesian Data Scientist](https://feeny.ai/job/bayesian-data-scientist-morse-corp-cambridge-ma-arlington-r5vcz8esjty2) — Cambridge MA Arlington, VA - [Security Administrator](https://feeny.ai/job/security-administrator-morse-corp-cambridge-dcbjww48vj3j) — Cambridge, MA - [Aerospace Algorithms Engineer](https://feeny.ai/job/aerospace-algorithms-engineer-morse-corp-cambridge-ma-arlington-va-seattle-rv15gf7b5g8s) — Cambridge MA Arlington VA Seattle, WA - [Senior Accountant](https://feeny.ai/job/senior-accountant-morse-corp-cambridge-hsyrd3bpxgky) — Cambridge, MA - [Unmanned Aerial Systems (UAS) R&D Technician](https://feeny.ai/job/unmanned-aerial-systems-uas-r-d-technician-morse-corp-cambridge-h9h01t7d65ab) — Cambridge, MA