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Math Software Engineer Jobs in Easton, MA (NOW HIRING)

Verisk

Senior Software Engineer

Boston, MA · Hybrid

$133K - $175K/yr

B.S. in Computer Science, Mathematics, Statistics, or a related quantitative field; M.S. or Ph.D. preferred * 5+ years of software engineering experience, with at least 2 years in a senior or lead ...

Vestmark, Inc.

Software Engineer

Boston, MA · On-site +1

We are looking for early-career Software Engineers in Boston who are serious about AI-assisted ... Background or coursework in financial services, mathematics, or quantitative disciplines * A ...

Vestmark, Inc.

Software Engineer

Boston, MA · On-site

We are looking for early-career Software Engineers in Boston who are serious about AI-assisted ... Background or coursework in financial services, mathematics, or quantitative disciplines * A ...

Ecovent

Senior Software Engineer

Boston, MA

$133K - $175K/yr

Our Senior Software Engineer role can jump into many technical areas, design and implement clean ... mathematical algorithms using standard packages and platforms Ability to thrive at a fast-paced ...

Hatch IT

Senior Software Engineer

Boston, MA

$133K - $175K/yr

Bachelor's degree or higher in computer science, mathematics, engineering, or science * 5+ years of relevant full stack or backend development experience * Strong experience with cloud-based software ...

Karen Clark & Company

Software Engineer

Boston, MA · On-site

$85K - $110K/yr

Working with our model development teams, you will build software tools for creating and ... Quantitative background (math/science/engineering) a plus * Insurance industry experience and/or ...

Hatch IT

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Bachelor's degree or higher in computer science, mathematics, engineering, or science * 5+ years of relevant full stack or backend development experience * Strong experience with cloud-based software ...

Karen Clark & Company

Software Engineer

Boston, MA · On-site

$85K - $110K/yr

Working with our model development teams, you will build software tools for creating and ... Quantitative background (math/science/engineering) a plus * Insurance industry experience and/or ...

Hatch IT

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Bachelor's degree or higher in computer science, mathematics, engineering, or science * 5+ years of relevant full stack or backend development experience * Strong experience with cloud-based software ...

Karen Clark & Company

Software Engineer

Boston, MA

$85K - $110K/yr

Working with our model development teams, you will build software tools for creating and ... Quantitative background (math/science/engineering) a plus * Insurance industry experience and/or ...

MORSE Corp

Autonomy Software Engineer

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is looking for an Autonomy Software Engineer to research, develop and prototype novel ... The ideal candidate will have a strong foundation in physics, math, statistics, and computer ...

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Showing results 21-40

All JobsMath Software Engineer JobsMath Software Engineer Jobs in Easton, MA

Math Software Engineer information

See Easton, MA salary details

$66.5K

$154.5K

$215.2K

How much do math software engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for math software engineer in Easton, MA is $154,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $181,200.00 per year, depending on experience, location, and employer.

What is a math software engineer?

Math Software Engineers are professionals who design, develop, and optimize software that performs complex mathematical computations. They often work on algorithms, numerical analysis, and simulation tools used in scientific research, finance, engineering, or data analysis. Their work ensures that mathematical models and computations are both accurate and efficient within various applications. Math Software Engineers typically have a strong background in mathematics, computer science, and programming languages such as Python, C++, or MATLAB.

How do math software engineers typically collaborate with other teams during the development process?

Math Software Engineers often work closely with cross-functional teams, such as data scientists, product managers, and front-end developers, to ensure mathematical models and algorithms are accurately implemented in software products. Collaboration involves regular meetings to discuss requirements, problem-solving sessions to address computational challenges, and code reviews for maintaining mathematical integrity. Communicating complex mathematical concepts in an accessible way is a key part of the role, enabling teams to create robust and efficient solutions that meet user needs.

What are the key skills and qualifications needed to thrive as a math software engineer, and why are they important?

To thrive as a Math Software Engineer, you need a strong background in mathematics, computer science, and algorithm development, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or MATLAB, along with experience using mathematical libraries and tools like NumPy or SciPy, is essential. Analytical thinking, problem-solving, and effective collaboration are valuable soft skills that enhance performance in this role. These skills ensure the development of robust, efficient, and accurate mathematical software solutions that meet complex computational requirements.

What is the difference between Math Software Engineer vs Data Scientist?

AspectMath Software EngineerData Scientist
Required CredentialsBachelor's or higher in Computer Science, Mathematics, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentSoftware development teams, R&D labs, tech companiesData analysis teams, research departments, tech firms
Industry UsageDeveloping algorithms, modeling, simulationData analysis, predictive modeling, insights generation

Math Software Engineers focus on developing mathematical algorithms and software solutions, often working on simulations and modeling. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong math skills, Math Software Engineers are more involved in software development, whereas Data Scientists focus on data analysis and interpretation.

What cities near Easton, MA are hiring for Math Software Engineer jobs?

Cities near Easton, MA with the most Math Software Engineer job openings:

Math Software Engineer jobs near you
Infographic showing various Math Software Engineer job openings in Easton, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $154,506 per year, or $74.3 per hour.

Senior Software Engineer

Verisk

Boston, MA • Hybrid

$133K - $175K/yr

Full-time

Re-posted 15 days ago

Verisk rating

7.6

Company rating: 7.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

104th of 224 rated it services

Job description

hackajob is collaborating with Verisk to connect them with exceptional professionals for this role.

Description

We are hiring a Senior Software Engineer with deep expertise in AI/ML engineering and data-intensive systems to join our Catastrophic and Risk Solutions team. You will be a key technical contributor on a cross-functional Agile team building cloud-native SaaS platforms that sit at the intersection of cutting-edge science and production software. This role goes beyond traditional full-stack development — you will design and ship AI-powered features, build data pipelines, and architect scalable ML-serving infrastructure on AWS.  This role is office-based in our Boston location, which has a flexible hybrid work model.

Responsibilities

AI & Data Engineering

  • Design, build, and deploy machine learning models and AI-powered features into production SaaS products
  • Maintain  scalable data pipelines for ingestion, transformation, and enrichment of large, complex datasets
  • Develop model-serving infrastructure using AWS SageMaker, Lambda, and container-based deployment patterns
  • Apply LLM integrations, RAG architectures, and generative AI capabilities where appropriate to enhance product functionality
  • Own data quality, observability, and monitoring for AI/ML workloads in production

Software Engineering & Architecture

  • Lead the design and implementation of cloud-native microservices and APIs (Python, C#/.NET) on AWS
  • Drive best practices in design, code quality, and system design across the team
  • Contribute to all stages of the SDLC: requirements review, design, development, testing, and deployment
  • Conduct code reviews and mentor team members on engineering standards
  • Proactively identify technical risks and communicate them early to course-correct
  • Participate in roadmap planning, scoping, and technology feasibility assessments
  • Contribute to a culture where solving customer problems is always the highest priority

Qualifications

Required

  • B.S. in Computer Science, Mathematics, Statistics, or a related quantitative field; M.S. or Ph.D. preferred
  • 5+ years of software engineering experience, with at least 2 years in a senior or lead role on cloud-native AWS products
  • Strong Python skills for data engineering, ML pipelines, and API development
  • Hands-on experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
  • Experience building and deploying production ML systems — model training, evaluation, versioning, and serving
  • Proficiency with AWS data and AI services: SageMaker, S3, Glue, Athena, Lambda, EC2, CloudWatch
  • Experience with data pipeline tooling: Apache Spark, Airflow, dbt, or equivalent
  • Solid understanding of data modeling, SQL, and working with large-scale databases (PostgreSQL, MSSQL, or similar)
  • Strong grasp of software engineering fundamentals: CI/CD, DevOps, testing, and system design
  • Familiarity with REST API design, microservices, and containerization (Docker, Kubernetes)
  • Experience with Agile development methodologies

Nice to Have

  • Experience with LLMs, prompt engineering, or RAG (Retrieval-Augmented Generation) systems
  • Familiarity with MLflow, Weights & Biases, or other ML lifecycle management tools
  • AWS Certification (Machine Learning Specialty, Solutions Architect, or equivalent)
  • Experience with geospatial data, catastrophe modeling, or climate/weather datasets
  • Full-stack experience with Angular or React and .NET Core
  • Background in the insurance, reinsurance, or financial services industries

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What Verisk employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Verisk

Sourced by ZipRecruiter

Verisk is a top-tier data analytics organization based in Jersey City, NJ, US, known for its deep industry knowledge and analytical prowess. Operating in the global risk assessment industry, it provides predictive analytics and decision support solutions to a wide range of industries like insurance, natural resources, financial services, government, and health care. Founded in 1971, Verisk operates on a mission of helping customers make superior decisions to minimize risk. With an organic growth strategy, Verisk offers a diverse portfolio of solutions, like risk assessment and decision analytics, that help businesses understand and manage their risks.

Industry

Library and information services

Company size

5,001 - 10,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

1971

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