ZipRecruiter

Log In

1

Data Science Environmental Sustainability From Home Jobs

Faurecia

Data Science Intern

Auburn Hills, MI

Help optimize model performance and experiment with different algorithms under guidance from senior ... environment where you can contribute to the development of sustainable mobility leading ...

Walmart

(USA) Director, Data Science

Elkins, AR · On-site

$130K - $260K/yr

... and sustainability across multiple data environments. * Communicate findings effectively to ... Programs range from high school completion to bachelor's degrees, including English Language ...

Walmart

(USA) Director, Data Science

Goshen, AR · On-site

$130K - $260K/yr

... and sustainability across multiple data environments. * Communicate findings effectively to ... Programs range from high school completion to bachelor's degrees, including English Language ...

Walmart

(USA) Director, Data Science

Gravette, AR · On-site

$130K - $260K/yr

... and sustainability across multiple data environments. * Communicate findings effectively to ... Programs range from high school completion to bachelor's degrees, including English Language ...

Varsity Tutors

Data Science Tutor

Arlington, TX · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

IN · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

Duluth, GA · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

MS · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

SC · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

Miramar, FL · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

Charlotte, NC · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

Bryan, TX · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

Lincoln, NE · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

Doral, FL · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Varsity Tutors

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

previous pagenext page

Showing results 21-40

All Jobsremote JobsEnergy and Environment JobsEnvironment JobsEnvironmental Professional JobsData Science Environmental Sustainability From Home Jobs

Data Science Environmental Sustainability From Home information

See salary details

$37.5K

$122.7K

$196.5K

How much do data science environmental sustainability from home jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science environmental sustainability from home in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data science environmental sustainability from home?

A Data Science Environmental Sustainability From Home job involves using data analysis, statistical modeling, and machine learning techniques to address environmental challenges, such as climate change, pollution, or resource management, all while working remotely. Professionals in this role collect and analyze environmental data to provide insights and solutions that support sustainability initiatives for organizations, governments, or NGOs. The remote aspect allows for flexibility and collaboration with global teams, leveraging digital tools to drive positive environmental outcomes from anywhere in the world.

How does a data science environmental sustainability role typically collaborate with other teams in a remote work setting?

As a Data Scientist specializing in environmental sustainability while working from home, you'll frequently collaborate with cross-functional teams such as environmental scientists, engineers, software developers, and policy analysts. This collaboration often happens through virtual meetings, shared data platforms, and project management tools to ensure seamless communication and integration of data-driven insights into sustainability initiatives. You'll be responsible for translating complex data into actionable recommendations, aligning your analyses with project goals, and adapting to varied communication styles across disciplines. Strong teamwork and proactive communication are essential to bridge the gap between technical findings and real-world environmental impact.

What are the key skills and qualifications needed to thrive as a data science environmental sustainability professional working from home?

To thrive as a Data Science Environmental Sustainability professional working from home, you need strong analytical skills, proficiency in statistics, and a background in environmental science or a related field, often supported by a relevant degree. Expertise with data analysis tools such as Python, R, and GIS software, as well as familiarity with remote collaboration platforms, is typically required. Excellent problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote success in this field. These competencies enable professionals to analyze complex environmental data, deliver actionable insights, and collaborate productively in distributed teams to drive sustainability initiatives.

What is the difference between Data Science Environmental Sustainability From Home vs Data Analyst Environmental Sustainability From Home?

AspectData Science Environmental Sustainability From HomeData Analyst Environmental Sustainability From Home
Required CredentialsBachelor's or higher in Data Science, Environmental Science, or related fields; programming skillsBachelor's degree in Data Analysis, Environmental Science, or related fields; analytical skills
Work EnvironmentRemote, often involves coding, modeling, and complex data analysisRemote, focuses on data interpretation, reporting, and visualization
Employer & Industry UsageTech companies, environmental agencies, research institutionsConsulting firms, government agencies, NGOs

Data Science Environmental Sustainability From Home involves advanced modeling, machine learning, and programming to analyze environmental data, while Data Analyst Environmental Sustainability From Home focuses on interpreting data, creating reports, and visualizations to support sustainability initiatives. Both roles are remote and require analytical skills, but Data Science roles typically demand more technical expertise and programming knowledge.

More about Data Science Environmental Sustainability From Home jobs

What cities are hiring for Data Science Environmental Sustainability From Home jobs?

Cities with the most Data Science Environmental Sustainability From Home job openings:

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

The most popular types of Data Science Environmental Sustainability jobs are:

What states have the most Data Science Environmental Sustainability From Home jobs?

States with the most job openings for Data Science Environmental Sustainability From Home jobs include:

What job categories do people searching Data Science Environmental Sustainability From Home jobs look for?

The top searched job categories for Data Science Environmental Sustainability From Home jobs are:

Data Science Environmental Sustainability From Home jobs near you
Infographic showing various Data Science Environmental Sustainability From Home job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Engineer - Data Science

Continental Resources, Inc.

Oklahoma City, OK • On-site

Full-time

Re-posted 6 days ago

Job description

Job Summary
The Senior Engineer, Data Science is a hands-on technical role who designs, builds, and operationalizes advanced analytics and Artificial Intelligence/Machine Learning solutions that drive measurable value across subsurface, drilling and completions, production operations, HSE, and commercial functions at Continental Resources. This role partners with multidisciplinary stakeholders to translate business problems into data-driven solutions, develop robust models and pipelines, and deploy them to production with strong Machine Learning Ops and governance practices. The ideal candidate combines a Master of Science in Data Science with strong applied analytics capability, solid data engineering skills, and practical oil and gas domain experience comparable to a seasoned upstream engineering background.
Duties and Responsibilities
  • Leads the design, development, and deployment of Artificial Intelligence/Machine Learning solutions for upstream subsurface and well operations, including physics-informed and hybrid modeling approaches for reservoir, drilling, and production optimization.
  • Builds advanced Artificial Intelligence/Machine Learning solutions for commercial analytics use cases such as pricing, supply chain, marketing, and trading to improve profitability and decision speed.
  • Executes complex AI initiatives from ideation and discovery through model development, deployment, and sustainment as part of integrated, enterprise-level teams.
  • Architects and implements reliable data pipelines and features using modern data platforms (e.g., Databricks, cloud services), ensuring data quality, lineage, and performance for analytics workloads.
  • Applies Machine Learning Ops best practices to automate training, testing, deployment, monitoring, and model lifecycle management at scale in production environments.
  • Translates complex business problems into analytical approaches with clear hypotheses, success criteria, and measurable outcomes across upstream and commercial domains.
  • Develops and delivers communications that convey a clear understanding of technical concepts, model results, and business implications to diverse technical and non-technical audiences.
  • Builds strong partnerships and cross-functional relationships with geoscience, engineering, operations, commercial, IT, and leadership stakeholders to drive adoption and sustain business impact.
  • Gains the confidence and trust of others through honesty, integrity, and follow-through while championing responsible and secure use of data and AI.
  • Actively seeks new ways to grow and be challenged by staying current on emerging Artificial Intelligence/Machine Learning, generative AI, optimization, and computational techniques relevant to energy and integrating them where they add value.
  • Other duties as assigned.

Skills and Competencies
  • Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
  • Action oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
  • Drives results - Consistently achieving results, even under tough circumstances.
  • Self-development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
  • Nimble learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
  • Situational adaptability - Adapting approach and demeanor in real time to match the shifting demands of different situations.
  • Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity.

Required Qualifications
  • Bachelor of Science in Petroleum, Mechanical, Chemical, or related Engineering discipline from an accredited college or university and Master of Science in Data Science, or a closely related data science or analytics field, from an accredited college or university.
  • Minimum five (5) years of hands-on experience delivering production-grade data science/Machine Learning solutions, including end-to-end lifecycle from discovery to deployment and sustainment.
  • Proficiency in Python and SQL; experience with Machine Learning frameworks and tooling (e.g., scikit-learn, PyTorch/TensorFlow), and data platforms such as Databricks and cloud services.
  • Experience building and maintaining data pipelines and features and applying Machine Learning Ops practices for model deployment and monitoring in enterprise environments.
  • Demonstrated ability to partner with technical and business domains in energy, including upstream subsurface, drilling/completions, production operations, and/or commercial analytics such as pricing, supply chain, marketing, or trading.
  • An acceptable pre-employment background and drug test.

Preferred Qualifications
  • Oil and gas industry experience, particularly in upstream engineering, subsurface, drilling and completions, production operations, or commercial energy analytics.
  • Background in computational sciences, optimization, or high-performance computing for engineering applications.
  • Familiarity with enterprise data governance, security, and responsible AI practices in regulated environments.
  • Five (5) or more years of combined oil and gas engineering/domain experience and applied data science experience.

Physical Requirements and Working Conditions
  • Requires prolonged sitting, some bending and stooping.
  • Occasional lifting up to 25 pounds.
  • Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.

Apply