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Applied Mathematics Computer Science Jobs in Columbus, OH

Bachelor's degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field, with substantial relevant experience in ML modeling experience for chemistry ...

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8 - 10 years experience in building sophisticated models using machine learning, segmentation ...

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or Economics * 8 - 10 years experience in building sophisticated models using machine learning, segmentation ...

Showing results 21-40

Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, and may involve working in industries such as finance, technology, or research.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What are popular job titles related to Applied Mathematics Computer Science jobs in Columbus, OH?

For Applied Mathematics Computer Science jobs in Columbus, OH, the most frequently searched job titles are:

What cities near Columbus, OH are hiring for Applied Mathematics Computer Science jobs?

Cities near Columbus, OH with the most Applied Mathematics Computer Science job openings:

Applied ML Scientist - Chemistry

Hexion

Columbus, OH • On-site

$80 - $120/hr

Other

Re-posted 11 days ago


Hexion rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

73rd of 103 rated chemical manufacturers


Job description

Job Responsibilities
  • Lead ML model development for prediction and optimization across chemistry, formulation, property, and process.
  • Collaborate with R&D and manufacturing on problem framing and translate business goals into well-posed multi-objective optimization modeling tasks.
  • Curate and analyze chemical and experimental data, assessing quality and structure and the limits it places on modeling.
  • Develop and select input representations for raw materials, chemistry, and signal data, such as molecular descriptors and fingerprints, learned embeddings, and spectral features.
  • Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
  • Quantify and calibrate model performance and uncertainty, and define each model’s domain of validity for downstream use.
  • Apply transfer learning to make use of multiple data sources, such as related tasks, prior campaigns, and data of varying fidelity and completeness.
  • Explore and adopt emerging ML methods, including LLM and agentic approaches, to advance modeling.
  • Communicate methods, results, and their limitations clearly to technical and non-technical audiences.
Minimum Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field, with substantial relevant experience in ML modeling experience for chemistry, formulation, process, or manufacturing problems.
  • Domain knowledge in chemistry, preferably polymer chemistry.
  • Demonstrated ability to develop molecular and materials representations and to select, train, and evaluate predictive models across families.
  • Experience in applied statistics and uncertainty quantification, including model calibration and domain of validity.
  • Strong Python skills and experience with mainstream Python-based ML frameworks and tools.
  • Active use of AI-assisted coding and other AI tools in daily work, with familiarity with emerging ML methods including LLM and agentic approaches.
  • Strong communication, collaboration, and stakeholder management skills for working with R&D, manufacturing, and business teams.
Preferred Qualifications
  • Master’s degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field.
  • 5+ years experience.
  • Experience with cheminformatics, chemistry foundation models and physics-informed modeling.
  • Familiarity with active learning, Bayesian optimization, and related techniques.
  • Knowledge of ML engineering core tasks and techniques, such as data and optimization pipelines, model deployment, and MLOps.
Equal Opportunity Statement

We are an Equal Opportunity, Affymative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.

Nearest Major Market: Columbus
Nearest Secondary Market: Dublin

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