Careers

Make a Difference with Swain Techs

As you consider a career at Swain Techs, you will find countless opportunities to contribute to solutions that are changing the world in real and measurable ways in our technical, engineering, and enterprise IT core business areas.

Why Swain Techs?

Swain Techs is an award-winning small disadvantaged business with over a decade of exceptional performance.

Headquartered in Newtown, PA with offices in Virginia, Swain Techs has been awarded more than $40M in prime contracts with U.S. Navy-NAVAIR, the Department of Health and Human Services (HHS), the Defense Logistics Agency (DLA), the Department of Commerce-US Patent and Trade Office (USPTO) and the U.S. Customs and Border Protection (CBP). Working to transform IT services and government processes with emerging technologies like Robotic Process Automation, Natural Language Understanding, and Quantum Computing concepts, we know that our success begins with you.

Swain Techs is always looking for bright, energetic, entrepreneurial individuals to join our team. 

So if you are looking for an exciting environment, where your opinion is highly valued and you are fanatical about customer service, we would love to talk with you. 

Come and discover what makes Swain Techs a great place to work. 

Core Values

  1. Delight our Clients with proactive, quality, speedy delivery of business value and trusted technology solutions.

  2. Foster Professional Development to help employees reach their full potential.

  3. Transparency internally and externally, aligned to our commitment to integrity and collaboration.

  4. Continual Improvement – always improving time, quality, and cost, and transfer this value to our clients

Current Available Positions

If interested, please send resume to careers@swaintechs.com.

  • Location: Hybrid – Philadelphia
    Full-Time
    Clearance: Secret

    About Swain Techs:
    Swain Techs is a trusted federal IT system integrator with deep expertise in data science, logistics, AI assurance, and software solutions. We are seeking a Data Scientist with a logistics background to support the U.S. Navy’s Support System Health Assessment Program. This role focuses on provisioning, sparing, and sustainment analysis to enhance operational readiness.

    Key Responsibilities:

    • Conduct COSAL (Coordinated Shipboard Allowance List) analysis to optimize spare parts availability and ensure compliance with Navy logistics standards.

    • Utilize MPBS (Material and Product Breakdown Structures) methodologies to break down complex systems for provisioning, inventory management, and sustainment planning.

    • Perform deck plate analysis, engaging directly with end-users to align logistics decisions with real-world operational needs.

    • Leverage data science techniques to analyze logistics trends, optimize supply chains, and improve asset lifecycle management.

    • Work with DLA (Defense Logistics Agency) and Navy stakeholders to enhance provisioning and sparing strategies.

    • Develop data-driven insights from technical manuals, maintenance records, and operational data to improve sustainment efficiency.

    • Support predictive analytics, forecasting, and machine learning models for logistics planning.

    Required Skills & Experience:

    • Data Science & Analytics – Experience in data modeling, predictive analytics, and logistics optimization.

    • Logistics & Supply Chain – Strong understanding of Navy/DLA logistics, provisioning, and sparing.

    • COSAL Analysis – Expertise in shipboard allowance list assessment and supply chain adjustments.

    • MPBS & Sustainment Planning – Ability to break down systems into structured component hierarchies.

    • Deck Plate Operations – Hands-on experience working with Navy maintenance teams and operational logistics.

    • Technical Documentation – Familiarity with Navy maintenance manuals and provisioning documentation.

    Preferred Qualifications:

    • Prior experience supporting Navy logistics programs or working with DLA logistics systems.

    • Experience with AI/ML applications in logistics and maintenance.

    • Proficiency in Python, R, SQL, or other data analytics tools.

    • Knowledge of DoD supply chain systems and sustainment methodologies.

    Why Join Swain Techs?

    • Work on mission-critical Navy programs that drive operational readiness.

    • Leverage cutting-edge data science and AI for logistics optimization.

    • Join a team of industry leaders in federal IT and logistics solutions.

    • Grow with a company that values innovation, collaboration, and impact.

  • You will play a critical role in the growing and implementing Data Science solutions for our client. You will be responsible for developing advanced analytics and machine learning models across domains including marketing, supply chain, forecasting, digital transformation, and supplier science. You will work closely with the team and clients to process owners and business stakeholders to deliver impactful data science solutions at significant scale. You will have the opportunity to do your best work every day and deliver disruptive innovation by tapping into new datasets, leveraging the latest cloud technologies, and being supported by a robust analytics and IT organization.

    Tasks include
    • Experience developing training data solutions for NLP models
    • Experience developing metrics for NLP models
    • Experience with developing word embedding models
    • Experience developing backend solutions using Python
    • Experience with SpaCy, MongoDB and Oracle
    • Experience using Docker, Flask, and git

    Minimum Experience:
    Master’s degree in an analytical field such as Business Analytics, Data Science, Computer Science, Applied Mathematics, or Operations Research. 5 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
    Preferred Experience:
    • Experience with Natural Language Processing (NLP) problems such as text classification and named-entity recognition
    • Experience with the AWS
    • Experience with Model Risk Management and Responsible AI
    Experience working in the strategic sourcing initiatives