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Remote Scientist Jobs (NOW HIRING)

Data Scientist

Phoenix, AZ ยท Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone.

ADS is seeking a Senior Support Scientist to support the Cryosphere/ Geosphere Sphere in the Earth ... Demonstrated experience in integrating multiple types of remote sensing data with applications to ...

... remote position. Application Deadline This position is anticipated to close on Jul 17, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take ...

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Soccer Data Scientist

San Francisco, CA ยท On-site +1

$130K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

ADS is seeking a Senior Support Scientist to support the Cryosphere/ Geosphere Sphere in the Earth ... Demonstrated experience in integrating multiple types of remote sensing data with applications to ...

About the role As a Data Scientist, you'll develop the AI and machine learning that powers our ... As a remote-first organization committed to providing a positive experience for both employees and ...

Competitive salary Location Remote Experience Level Senior Level (7 or more years of experience) Role Overview We are seeking a highly skilled Senior Data Scientist to join a fast-paced SaaS ...

Data Scientist

Springfield, VA ยท Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE , based in ...

Data Scientist

Richardson, TX ยท Remote

$116K - $198K/yr

We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

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Remote Scientist information

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$83.5K

$127K

$171K

How much do remote scientist jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

How can I make 2000 a week working from home?

A remote scientist can earn $2,000 a week by taking on multiple consulting projects, freelance research assignments, or specialized contract roles that pay high hourly or project-based rates. Building expertise in in-demand areas like data analysis, laboratory techniques, or scientific writing, along with strong communication skills and relevant certifications, can help secure higher-paying opportunities in a remote setting.

What jobs pay 500,000 a year in the US?

Remote scientists, especially those in specialized fields like pharmaceuticals, biotechnology, or data science with advanced expertise, can reach or exceed a $500,000 annual salary through senior roles, consulting, or leadership positions. High earnings often require advanced degrees, extensive experience, and skills in areas such as machine learning, bioinformatics, or scientific management.

What is a Remote Scientist job?

A Remote Scientist is a professional who conducts scientific research, analysis, and experiments while working remotely, often using digital tools and virtual collaboration platforms. They may work in various fields, including environmental science, data science, biotechnology, and engineering. Remote Scientists communicate their findings through reports, presentations, or virtual meetings with colleagues and stakeholders. This role requires strong problem-solving skills, self-discipline, and proficiency in using remote research tools.

What does a typical workday look like for a Remote Scientist?

A typical day for a Remote Scientist often involves analyzing datasets, designing experiments or simulations, collaborating with team members via video calls or shared digital platforms, and preparing reports or presentations. Depending on their specialization, they may spend time running remote experiments, writing scientific papers, or contributing to grant proposals. While much of the work is independent, regular virtual meetings are held to ensure alignment with projects and to discuss research progress. This structure allows Remote Scientists to balance focused research time with teamwork and ongoing professional development.

Is 40 too late to become a scientist?

A remote scientist role can be pursued at any age, as many scientific careers value experience, skills, and continuous learning. While some positions may require advanced degrees or specialized training, individuals can start new scientific careers later in life by gaining relevant education, certifications, and practical experience.

How can I make $100,000 a year working from home?

A remote scientist can reach a $100,000 annual income by gaining specialized expertise in high-demand fields such as data analysis, bioinformatics, or environmental science, often requiring advanced degrees and certifications. Building a strong professional network, publishing research, and leveraging freelance consulting or contract work can also increase earning potential while working remotely.

What are the key skills and qualifications needed to thrive in the Remote Scientist position, and why are they important?

To thrive as a Remote Scientist, you need a strong grounding in scientific research methods, data analysis, and a relevant advanced degree such as a Master's or Ph.D. Tools like statistical software (e.g., R, Python), laboratory management systems, and secure data-sharing platforms are frequently used, along with certifications in specialized areas if required. Exceptional written and verbal communication, self-motivation, and organizational skills are essential for effectively collaborating within remote teams and managing independent projects. These abilities ensure remote scientists maintain high research standards, deliver impactful findings, and successfully bridge the gap between virtual collaboration and tangible scientific progress.

More about Remote Scientist jobs
What cities are hiring for Remote Scientist jobs? Cities with the most Remote Scientist job openings:
What are the most commonly searched types of Scientist jobs? The most popular types of Scientist jobs are:
What states have the most Remote Scientist jobs? States with the most job openings for Remote Scientist jobs include:
Infographic showing various Remote Scientist job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Data Scientist

Data Scientist

Mondo

Phoenix, AZ โ€ข Remote

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

Apply now: Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position.

Job Title: Data Scientistย Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.)Start Date: ASAPDuration: Contract, 12 MonthsCompensation Range: $65/hr to $75/hrBenefits: Eligible for Health, Dental, Vision, and 401KVisa Sponsorship: Not eligible for visa sponsorship

Job Description:The client is seeking a Data Scientist with deep expertise in Generative AI, agentic architectures, and MLOps to design, build, and scale end to end AI solutions while embedding Responsible AI practices across the full development lifecycle. This role requires hands on MLOps maturity, not just model building, the candidate will own how models move from experimentation into production and stay reliable once they get there.

Job Summary:

  • Design and deploy end to end RAG solutions and autonomous AI agents in cloud and enterprise environments
  • Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure
  • Develop and maintain MLOps pipelines to support model deployment, monitoring, versioning, and governance
  • Own CI/CD for ML workflows, including automated retraining, model registry management, and rollback procedures
  • Implement model monitoring for drift, performance degradation, and data quality issues in production
  • Apply statistical modeling techniques to solve complex business problems
  • Collaborate with stakeholders across the organization to translate requirements into scalable AI solutions
  • Embed Responsible AI practices across model development, deployment, and governance workflows
  • Contribute across the full development lifecycle, from experimentation through production release

Requirements:

Must Haves:

  • Location: candidate must be based in Pacific, Mountain, or Central time zone. This is a hard requirement, not a preference.
  • Minimum 4 years of experience working specifically as a Data Scientist (title and scope must match, not adjacent titles like Data Analyst or ML Engineer alone)
  • Must currently or most recently hold a Data Scientist title (Data Scientist, Senior Data Scientist, Staff Data Scientist, Principal Data Scientist, etc.). Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer, Analytics Engineer, etc.)
  • Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model development or notebooks)
  • Direct experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines
  • Master's degree in a STEM field
  • 4 years of proficiency in SQL
  • 4 years of proficiency in Python
  • Hands on experience with AWS or Azure cloud platforms
  • Proficiency with Git for version control
  • Strong communication skills with demonstrated ability to work cross functionally with stakeholders

Nice to Haves:

  • Experience with Snowflake for data warehousing and analytics
  • Hands on experience with AWS specifically, in addition to general cloud proficiency
  • Startup or fast paced environment mindset with comfort navigating ambiguity
  • Active personal use of AI tools and familiarity with the evolving AI landscape