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Research Scientist Optimization Jobs in Springfield, MA

MANTECH

Senior GEOINT Data Scientist

Springfield, MA

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to ... Researching and implementing optimization models, strategies, and methods to inform data management ...

florrent

R&D Intern (Fall 2026)

Sunderland, MA · On-site +1

$16 - $21.25/hr

... scientists, engineers, and professionals passionate about solving hard problems and delivering ... and optimization, to help us build and optimize the energy storage technology in our next ...

micro1 AI

AI Training Specialist - Chemistry

Hartford, CT · Remote

$70 - $90/hr

... scientific and research domain. In this role, you'll apply your expertise to help train next ... optimization. * Design and interpret complex laboratory experiments involving chemical reactions ...

Crowe LLP

Machine Learning Intern

Hartford, CT

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in ... full data science lifecycle: research and exploration, development, deployment, support Using ...

Crowe LLP

Machine Learning Intern

Hartford, CT · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in ... full data science lifecycle: research and exploration, development, deployment, support Using ...

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All JobsResearch Scientist Optimization JobsResearch Scientist Optimization Jobs in Springfield, MA

Research Scientist Optimization information

See Springfield, MA salary details

$50.3K

$129.7K

$173.4K

How much do research scientist optimization jobs pay per year?

As of Aug 20, 2026, the average yearly pay for research scientist optimization in Springfield, MA is $129,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $172,400.00 per year, depending on experience, location, and employer.

What does a research scientist in optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

What are the key skills and qualifications needed to thrive as a research scientist in optimization?

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What types of projects and collaborations can a research scientist in optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

What is the difference between Research Scientist Optimization vs Data Scientist?

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Research Scientist Optimization jobs in Springfield, MA?

For Research Scientist Optimization jobs in Springfield, MA, the most frequently searched job titles are:

What cities near Springfield, MA are hiring for Research Scientist Optimization jobs?

Cities near Springfield, MA with the most Research Scientist Optimization job openings:

Research Scientist Optimization jobs near you

Senior GEOINT Data Scientist

MANTECH

Springfield, MA

Full-time

Re-posted 12 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies

Job description

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

MANTECH seeks a motivated, career and customer-oriented Senior GEOINT Data Scientist to join our team in Springfield, VA!

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to support critical data environments, to include creating streamlined processes, evaluating unique datasets, and solving challenging intelligence issues.

Responsibilities include but are not limited to:

  • Working with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Leading and participating in the design of solutions and refinement of pre-existing processes
  • Working with Program Managers and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Using exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Researching and implementing optimization models, strategies, and methods to inform data management activities and analysis
  • Applying big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments

Minimum Qualifications:

  • High School Diploma/GED with 10+ years of progressively responsible experience in GEOINT analysis, intelligence analysis, or a related technical field
  • Education/Training Substitutions:
    • Associate’s degree may substitute for 2 years of experience.
    • Bachelor’s degree may substitute for 3 years of experience.
    • Master’s degree may substitute for 2 years of experience.
    • PhD may substitute for 3 years of experience.
    • Professional certifications may substitute for up to 6 months of experience.
  • Significant experience supporting IC operations, possessing expert level knowledge to manipulate and analyze structured/ unstructured data
  • Demonstrated experience in data mining and developing/maintaining/manipulating databases
  • Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
  • Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
  • Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
  • Experienced in conducting multi-INT and technology specific research to support mission operations

Preferred Qualifications:

  • Possess Master's degree in Data Science or related technical field with experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS
  • Experience using .NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Clearance Required:

  • An active TS/SCI with the ability to obtain & maintain a Polygraph

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and senior personnel, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

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