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Remote Mathematical Modeling Jobs in Philadelphia, PA

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Integrate AI models, data pipelines, and inference services into production systems. * Collaborate ... Bachelor's degree (in Engineering, Computer Science, Math, or related field) Minimum Years of ...

IQVIA

Senior Data Team Lead (Remote)

Philadelphia, PA · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Senior Data Team Lead (Remote)

Philadelphia, PA · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Comcast

Machine Learning Engineer 3- 7882

Philadelphia, PA · On-site +1

$56.25 - $74.50/hr

... mathematical programming, including linear and mixed integer programming and decomposition ... Position is eligible for 100% remote work. REQUIREMENTS: Master's degree, or foreign equivalent, in ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed ... Develop predictive models, scoring frameworks, and machine learning solutions that enhance business ...

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Remote Mathematical Modeling information

See Philadelphia, PA salary details

$84.3K

$128.2K

$172.6K

How much do remote mathematical modeling jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote mathematical modeling in Philadelphia, PA is $128,185.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $144,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote mathematical modelers, and how can they be addressed?

Remote mathematical modelers often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication regarding model requirements, and managing complex data sets independently. These can be addressed by utilizing collaborative tools like shared code repositories, regular virtual meetings, and clear documentation practices. Additionally, proactively seeking feedback and maintaining open channels of communication with stakeholders can help ensure alignment and successful project outcomes.

What is remote mathematical modeling?

Remote mathematical modeling involves using mathematical equations and computational methods to represent real-world systems or processes, all while working from a location outside of a traditional office environment. Professionals in this field use tools like MATLAB, Python, or R to develop and analyze models for industries such as finance, engineering, healthcare, and environmental science. The remote aspect allows for flexible collaboration with teams worldwide through digital communication platforms. This role typically requires strong analytical skills, problem-solving abilities, and proficiency in mathematical software.

What are the key skills and qualifications needed to thrive as a Remote Mathematical Modeler, and why are they important?

To thrive as a Remote Mathematical Modeler, you need a strong background in mathematics, statistics, and computational modeling, typically supported by a relevant degree such as mathematics, engineering, or physics. Proficiency with technical tools like MATLAB, R, Python, and specialized modeling software, as well as experience with data analysis and simulation platforms, is essential. Strong problem-solving, analytical thinking, and effective written communication skills set top performers apart in this role. These skills are crucial for developing accurate models, interpreting complex data remotely, and delivering clear insights to clients or stakeholders.
What are the most commonly searched types of Mathematical Modeling jobs in Philadelphia, PA? The most popular types of Mathematical Modeling jobs in Philadelphia, PA are:
What are popular job titles related to Remote Mathematical Modeling jobs in Philadelphia, PA? For Remote Mathematical Modeling jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Mathematical Modeling jobs in Philadelphia, PA look for? The top searched job categories for Remote Mathematical Modeling jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Mathematical Modeling jobs? Cities near Philadelphia, PA with the most Remote Mathematical Modeling job openings:
Remote Mathematical Modeling jobs near you

Software Engineer (US-Remote)

Gnostech

Marlton, NJ • On-site, Remote

Full-time

Re-posted 18 days ago

Job description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.
Overview
Location
  • US-Remote or Marlton, NJ area

Job Title
  • Software Engineer

Salary
  • Commensurate with industry position, depending on experience

Shift
  • Typical: Monday through Friday 9am to 5pm

Travel
  • Less than 5%

Position Responsibilities
  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance
  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills
  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications
  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required
  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience
  • 2+

Gnostech 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, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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