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Remote Data Science Physics Jobs in Buffalo, NY (NOW HIRING)

Clarasight

Data Scientist

Boston, NY · On-site +1

You move fluidly between data science, prototyping, and product thinking, and you're just as ... Remote and Hybrid work environments. * Robust benefits including full medical, dental and vision ...

Varsity Tutors

College Physics Tutor

Buffalo, NY · Remote

$18 - $40/hr

... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ... data. Emphasizes connecting mathematical formulations to physical intuition and applies physics to ...

Varsity Tutors

IB Physics Tutor

Buffalo, NY · Remote

$18 - $40/hr

Ability to explain IB data booklet formula usage and IA requirements while preparing students for ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

AP Physics 2 Tutor

Buffalo, NY · Remote

$18 - $40/hr

... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

CHILDANDFAMILYSERVICES

Data Intern

Cheektowaga, NY · On-site +1

Current enrollment in a Bachelor's or Master's program in Data Science, Computer Science ... Onsite or remote options may be available. Students should be local to the WNY area. This is an ...

Varsity Tutors

High School Science Tutor

Buffalo, NY · Remote

$18 - $40/hr

Deep knowledge of biology, chemistry, physics, and earth science concepts covered at the high ... Ability to explain scientific principles, laboratory techniques, and data analysis methods while ...

micro1 AI

AI Trainer - Microbiology Expert

Buffalo, NY · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Varsity Tutors

Astronomy Tutor

Buffalo, NY · Remote

$18 - $40/hr

... data. Emphasizes quantitative reasoning about cosmic scales and connects astronomy to physics, mathematics, and the history of scientific discovery. * Curriculum Awareness & Adaptive Instruction:

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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.

What are popular job titles related to Remote Data Science Physics jobs in Buffalo, NY?

For Remote Data Science Physics jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Physics jobs in Buffalo, NY look for?

The top searched job categories for Remote Data Science Physics jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Remote Data Science Physics jobs?

Cities near Buffalo, NY with the most Remote Data Science Physics job openings:

Remote Data Science Physics jobs near you
Infographic showing various Remote Data Science Physics job openings in Buffalo, NY as of August 2026, with employment types broken down into 6% Internship, 75% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Data Scientist

Clarasight

Boston, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago

Key responsibilities

  • Design and develop product prototypes based on financial and travel spend analysis and client data.

  • Lead data integration efforts across diverse sources and formats to ensure clean, reliable datasets.

  • Explore and implement advanced techniques like machine learning and large language models to improve financial analytics tools.

Job description

About Us
Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.
About You
You are a builder at heart - curious, analytical, and energized by turning complex financial and travel data into tools that people actually use. You move fluidly between data science, prototyping, and product thinking, and you're just as comfortable exploring a messy dataset as you are shipping a prototype into customers' hands. You thrive on iteration, customer feedback, and the challenge of making advanced techniques - including machine learning and LLMs - deliver real, measurable value.
About the Role
  • We are seeking a Data Scientist to create product prototypes that address customer needs and enhance platform capabilities.
  • This role translates analytical insights into actionable tools, using advanced data techniques and customer feedback to shape what ships next.
  • You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product.
Key Responsibilities
Prototype & Product Development
  • Design and develop product prototypes based on financial and travel spend analysis and client data.
  • Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers.
  • Iterate on prototypes based on customer feedback to refine and improve usability.
  • Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes.

Data Integration & Insight Generation
  • Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features.
  • Leverage customer datasets to identify trends, generate insights, and create impactful solutions.
  • Collaborate with advisory and forecasting specialists to integrate insights into product design.

Advanced Techniques & Visualization
  • Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization to improve the accuracy, speed, and efficiency of financial analytics tools.
  • Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format.
You'll Be a Great Fit If You...
  • Have experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management.
  • Have expertise in data integration - including ETL pipelines, API connections, and harmonizing data across multiple systems and formats.
  • Are proficient in Python, R, or JavaScript for data analysis and tool development.
  • Are familiar with building and testing product prototypes in an iterative environment.
  • Have strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling.
  • Have experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions.
  • Can communicate complex concepts to non-expert audiences effectively.
Nice to Haves
  • Experience working alongside AI systems and applying human judgment to automated outputs.
  • Hands-on experience with LLMs or ML models applied to financial or spend data.
  • Familiarity with corporate travel, expense, or emissions datasets.
  • Experience shipping prototypes into production alongside engineering teams.
Diverse Perspectives
We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team.
We Offer
  • Generous options in our early stage startup for key members of the team.
  • Working among a diverse, expert team at the forefront of climate tech, behavioral change, and people technology.
  • Opportunity to make a foundational contribution to our mission: close the gap between climate-related intention and action.
  • Remote and Hybrid work environments.
  • Robust benefits including full medical, dental and vision insurance, 401k (or similar retirement programs) and sustainability benefit ($500 annually to spend on increasing personal sustainability).

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