2

Remote Data Science Physics Jobs in Milpitas, CA

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

New

Data Scientist

Pleasanton, CA ยท Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve ... Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid options are not available. About the Role: TheWalmart Global Tech Applied AI Data Science teamis looking ...

next page

Showing results 1-20

Remote Data Science Physics information

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as a remote data science physicist?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is a remote data science physicist?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.
What job categories do people searching Remote Data Science Physics jobs in Milpitas, CA look for? The top searched job categories for Remote Data Science Physics jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Remote Data Science Physics jobs? Cities near Milpitas, CA with the most Remote Data Science Physics job openings:
Infographic showing various Remote Data Science Physics job openings in Milpitas, CA as of August 2026, with employment types broken down into 5% Internship, 73% Full Time, 17% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Data Scientist, Senior Enterprise DS & AI Org - Only W2

Rootshell Enterprise Technologies Inc.

Santa Clara, CA โ€ข Remote

Other

Re-posted 24 days ago


Job description

Hello All,

Greetings from Rootshell Inc.

Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Scientist, Senior-Enterprise DS & AI Org for one of our client, Please share your resume with current location & full contact info

Role: Data Scientist, Senior-Enterprise DS & AI Org

Location: Remote

Only W2

Job Summary:

Notes: Computer vison model experience a must. We will require detail writeup on experience with computer Vison Model.

Key points

  • Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
  • Competency in the mathematical and statistical fields that underpin data science
  • Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
  • Strong in Python & R

Education Minimum: Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.

Education Desired: Master's degree in one of the above areas.

Experience Minimum: 4 years in data science (or 2 years, if possess master's degree, as described above).

Knowledge, Skills, Abilities and (Technical) Competencies:

Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them

Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment

Competency in commonly used data science and/or operations research programming languages, packages, and tools.

Hands-on and theoretical experience of data science/machine learning models and algorithms

Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.

Competency in the mathematical and statistical fields that underpin data science

Mastery in systems thinking and structuring complex problems

Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies

Desired: experience building computer vision models

Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)

With regards

Naveen | Talent Acquisition

Rootshell Enterprise Technologies Inc.

Naveen@rootshellinc.com | www.rootshellinc.com