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Temporary Data Science Physics Jobs (NOW HIRING)

D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) Company : Databricks is a data and AI platform that unifies data ...

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. * Engage with other developers frequently to share relevant knowledge, opinions, and ...

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. * Engage with other developers frequently to share relevant knowledge, opinions, and ...

Data Scientist

Tampa, FL · On-site

$145 - $165/hr

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. * Engage with other developers frequently to share relevant knowledge, opinions, and ...

Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives ... Physics * Or a related quantitative field. #J-18808-Ljbffr

Data Scientist

Tampa, FL · On-site

$145 - $165/hr

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

Master's degree in mathematics, statistics, computer science, physics, or a STEM related field ... Big data and distributed analytics * Cloud-native analytics platforms * Custom application ...

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Data Reviewer, Temporary Position #: 00782556 Requisition#: 40591 This is a Temporary position ... Minimum Qualifications: • Bachelor's degree in a scientific discipline or related field, or an ...

Physics

Red Bank, NJ · On-site

$42K - $50K/yr

High School Teaching/Science - Physics Date Posted: 4/30/2026 Location: Red Bank Catholic High ... data systems. Previous teaching experience is preferred. Secondary science certification is ...

Showing results 21-40

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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The most popular types of Data Science Physics jobs are:

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States with the most job openings for Temporary Data Science Physics jobs include:

Infographic showing various Temporary Data Science Physics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff Data Scientist

Databricks

San Francisco, CA • On-site

Full-time

Re-posted 13 days ago


Job description

Job Summary:
Databricks is a leading data and AI company that provides a Data Intelligence Platform to help organizations solve complex problems. The Staff Data Scientist will shape key data science areas, work closely with various teams to make data-driven decisions, and mentor junior data scientists while representing the data science discipline across the organization.
Responsibilities:
• Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
• Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts.
• Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
• Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
• Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven
• Build self-serving internal data products to make data simple within the company.
• Represent Databricks at academic and industrial conferences & events.
Qualifications:
Required:
• 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
• Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems.
• Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis.
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Sales and Engineering at the moment, but also work with the Marketing and Finance organizations.
• Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
• Proficient in data analysis and visualization using tools like R and Python.
• Experience with distributed data processing systems like Spark, and proficiency in SQL.
• MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.