2

Data Science Sustainability Remote Jobs in Draper, UT

Cheminformatics Specialist - Remote

Provo, UT ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Showing results 41-60

Data Science Sustainability Remote information

See Draper, UT salary details

$35.1K

$114.7K

$183.7K

How much do data science sustainability remote jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science sustainability remote in Draper, UT is $114,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $127,100.00 per year, depending on experience, location, and employer.

What is a data science sustainability remote job?

A Data Science Sustainability Remote job involves using data analysis and machine learning techniques to address environmental and sustainability challenges while working from a remote location. Professionals in this role analyze large datasets to uncover insights that can improve energy efficiency, reduce waste, and help organizations meet their sustainability goals. They often collaborate with sustainability teams and decision-makers to design data-driven strategies for positive environmental impact. Remote work allows them to perform these tasks from virtually anywhere, providing flexibility and access to a wide range of organizations.

What does a data science sustainability remote professional do?

In a remote Data Science Sustainability role, you'll frequently collaborate with teams such as environmental specialists, product managers, and IT professionals to analyze data and develop models that support the organization's sustainability goals. Effective virtual communication and project management tools are essential, as you may participate in regular video meetings, share progress updates, and co-develop solutions to track and reduce environmental impact. By working closely with diverse departments, you help translate complex data insights into actionable strategies, making your contributions highly visible and impactful across the organization.

What skills and qualifications are needed to thrive as a data science sustainability remote professional?

To excel as a Data Science Sustainability professional in a remote setting, you need a solid background in data analysis, statistical modeling, and domain knowledge in environmental or sustainability science, typically backed by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with sustainability data platforms or certifications such as LEED or GRI is highly valuable. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating across virtual teams and translating data insights into actionable strategies. These skills ensure that data-driven decisions effectively support sustainability goals while maintaining productivity and alignment in a remote work environment.

What is the difference between Data Science Sustainability Remote vs Data Analyst Sustainability Remote?

AspectData Science Sustainability RemoteData Analyst Sustainability Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like SAS or PythonBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentRemote, collaborative teams, often with data engineering and analytics departmentsRemote, focused on data collection, cleaning, and reporting within sustainability projects
Employer & Industry UsageTech companies, environmental agencies, consulting firmsResearch institutions, environmental organizations, corporate sustainability teams

Data Science Sustainability Remote involves advanced analytics, machine learning, and modeling to support sustainability initiatives, requiring technical expertise. Data Analyst Sustainability Remote focuses on analyzing and visualizing sustainability data to inform decisions. Both roles are remote and integral to sustainability efforts but differ in technical complexity and responsibilities.

What are popular job titles related to Data Science Sustainability Remote jobs in Draper, UT?

For Data Science Sustainability Remote jobs in Draper, UT, the most frequently searched job titles are:

What job categories do people searching Data Science Sustainability Remote jobs in Draper, UT look for?

The top searched job categories for Data Science Sustainability Remote jobs in Draper, UT are:

What cities near Draper, UT are hiring for Data Science Sustainability Remote jobs?

Cities near Draper, UT with the most Data Science Sustainability Remote job openings:

Medical Microbiology Consultant - Remote

micro1 AI

Salt Lake City, UT โ€ข Remote

$70 - $90/hr

Part-time

Posted 21 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.