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Remote Data Science Physics Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Natera

Director of Data Science and Bioinformatics

OR · On-site +1

D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent). * Minimum of 10 years of experience in Data Science or ...

Natera

Director of Data Science and Bioinformatics

$186K - $232K/yr

D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics ... Remote USA $186,300-$232,900 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Landpoint

Remote Data Analyst

Fremont, CA · Remote

They work in many industries, including business, finance, science, medicine, and government To excel as a remote data analyst, professionals must possess a combination of technical skills, soft ...

GenLogs

Data Scientist

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 ...

Amgen, Inc.

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

Amgen

Data Scientist

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

OpenX

Staff Data Scientist

D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years ...

OpenX

Staff Data Scientist

D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years ...

OpenX

Staff Data Scientist

D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years ...

OpenX

Staff Data Scientist

New York, NY · On-site +1

Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ ...

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Remote Data Science Physics information

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 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 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.

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

A physics degree can qualify you for remote data science physics roles, especially if you have skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL. Many employers value strong analytical and problem-solving skills, and remote positions often require proficiency in collaboration platforms and self-motivation. Additional certifications or experience in machine learning or data engineering can enhance your prospects in this field.

Can I work remotely as a data scientist?

Remote data science positions are common in the industry, allowing professionals to work from various locations. These roles typically require strong skills in programming, data analysis, and tools like Python or R, and often involve collaboration via online platforms. Many companies offer flexible or fully remote arrangements for data scientists.
More about Remote Data Science Physics jobs

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Cities with the most Remote Data Science Physics job openings:

What are the most commonly searched types of Data Science Physics jobs?

The most popular types of Data Science Physics jobs are:

What states have the most Remote Data Science Physics jobs?

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

What job categories do people searching Remote Data Science Physics jobs look for?

The top searched job categories for Remote Data Science Physics jobs are:

Remote Data Science Physics jobs near you
Infographic showing various Remote Data Science Physics job openings in the United States as of August 2026, with employment types broken down into 5% Internship, 69% Full Time, 21% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Re-posted 4 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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