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Temporary Data Science Physics Jobs (NOW HIRING)

PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field * Minimum 3+ years of ...

Data Scientist I

Saint Louis, MO Β· On-site

$70K - $110K/yr

We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to ... Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field ...

Senior Data Scientist

Woburn, MA Β· On-site

$140K - $190K/yr

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

Data Scientist

Fort George G Meade, MD Β· On-site

$141K - $236K/yr

Bachelor's degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional ...

Senior Data Scientist

Arlington, VA Β· On-site

$140K - $190K/yr

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

ABOUT THE DATA TEAM The Data Science team at GenLogs transforms raw observational data from the ... You bring a background in engineering, computer science, physics, applied math, or another hard ...

Data Science * Statistics * Mathematics * Engineering ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics ...

Showing results 41-60

Temporary Data Science Physics information

What is the difference between Temporary Data Science Physics vs Data Analyst?

AspectTemporary Data Science PhysicsData Analyst
Required CredentialsDegree in Physics, Data Science, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; data handling skills
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageScientific research, tech innovation, academiaBusiness insights, reporting, decision-making

Temporary Data Science Physics roles focus on applying physics principles and data science techniques in research or tech environments, often requiring strong analytical and programming skills. Data Analysts primarily interpret data to support business decisions, with a focus on data visualization and reporting. While both roles involve data handling, their industry applications and skill sets differ, making them distinct career paths.

Can I get a temporary data science physics job with a physics degree?

A physics degree can qualify you for a temporary data science physics position, especially if you have skills in programming, statistical analysis, and data modeling using tools like Python or R. Such roles often require relevant experience or coursework in data analysis and may involve working with large datasets or simulations in a research or industry setting.
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Infographic showing various Temporary Data Science Physics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Materials Informatics Scientist

On-site

Other

Posted 7 days ago


Job description

Lead activities in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design
Develop advanced data-driven and physics-based models to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications
Analyze and interpret materials data using advanced statistical and data mining techniques
Propose, execute and defend project concepts
Collaborate and plan experimental campaigns for model development, validation and deployment with Freudenberg Business Groups
Identify and prioritize promising materials candidates for further investigation and development
Work with internal and external experts to develop high business impact solutions
Communicate results through reports and presentations to technical and non-technical audiences, including C level
Collaborate with materials scientists, engineers, and researchers across geographic locations
Collaborate with industry or academic specialists to apply research results and develop new techniques

Requirements
  • PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field
  • Minimum 3+ years of experience in computational methods for material and product design, either in industry or academia
  • Strong knowledge of materials science fundamentals, including structure-property relationships, materials characterization, and the principles governing material properties and behavior
  • Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating multiscale and multiphysics simulations
  • Proficiency in programming languages like Python, Julia, C/C++, and familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies
  • Ability to work independently and as part of a team
  • Strong communication and stakeholder engagement skills
  • International outlook and willingness to travel as a plus
  • Excellent analytical, problem/situation analysis, and critical thinking skills
  • Ability to manage multiple projects and meet deadlines in a fast-paced, globally matrixed environment
Core Competencies

Demonstrates expertise in generative AI and physics-informed machine learning for product and material development, with strong analytical skills in data interpretation and modeling. Proficient in collaborating with cross-functional teams and communicating complex results to diverse audiences.

Highest-signal resume keywords
  • PhD In Materials Science
  • Generative AI
  • Materials Informatics
  • Python Programming
  • Computational Methods For Material Design
Hard Skills
  • Data Mining Techniques
  • Statistical Analysis
  • Materials Characterization
  • Structure-Property Relationships
  • Multiscale Simulations
  • Multiphysics Simulations
  • Cheminformatics
  • Critical Thinking
  • Project Management
  • Problem Analysis
Soft Skills
  • Strong Communication Skills
  • Stakeholder Engagement
  • Team Collaboration
  • Independent Work
  • Analytical Thinking
Industry Keywords
  • Materials Science
  • Chemical Engineering
  • Data Science
  • Physics
  • Mechanical Engineering
  • Sustainable Solutions
  • New Mobility Applications
  • Experimental Campaigns
  • Technical Presentations
  • Global Collaboration
Tools & Technologies
  • Python
  • Julia
  • C/C++
  • SQL
  • MySQL
  • MongoDB
  • Flask
  • Azure
  • Cloud Technologies
  • Machine Learning Tools
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