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Home Based Data Science Ngo Jobs (NOW HIRING)

... science) * Experience developing or enhancing cloud-based data solutions * Strong knowledge of data imputation techniques and applied machine learning * Familiarity with defense-related analytics or ...

... science) * Experience developing or enhancing cloud-based data solutions * Strong knowledge of data imputation techniques and applied machine learning * Familiarity with defense-related analytics or ...

... science) * Experience developing or enhancing cloud-based data solutions * Strong knowledge of data imputation techniques and applied machine learning * Familiarity with defense-related analytics or ...

Data Science

Provo, UT · On-site

$110K - $130K/yr

... to their homes. Check out angel.com/watch You'll take ownership of how we understand user ... Prototype recommendation approaches (content-based filtering, hybrid models, embeddings) and ...

... data science best practices. • Work with cloud-based data infrastructure and ML tools (AWS preferred). • Stay current with developments in machine learning and data science techniques. • ...

... data science best practices. • Work with cloud-based data infrastructure and ML tools (AWS preferred). • Stay current with developments in machine learning and data science techniques. • ...

Expertise in Python and other cloud-based data science platforms (Databricks preferred), and ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

Expertise in Python and other cloud-based data science platforms (Databricks preferred), and ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

Expertise in Python and other cloud-based data science platforms (Databricks preferred), and ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

Data Scientist

Dahlgren, VA · On-site

$110 - $150/hr

... science) * Experience developing or enhancing cloud-based data solutions * Strong knowledge of data imputation techniques and applied machine learning * Familiarity with defense-related analytics or ...

We're looking for a Manager, Data Science to support business intelligence & data science ... cloud-based data environments • Contribute to existing analytics pipelines and dashboards ...

Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub). * Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or ...

We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...

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How much do home based data science ngo jobs pay per year?

As of Aug 18, 2026, the average yearly pay for home based data science ngo 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 cities are hiring for Home Based Data Science Ngo jobs?

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

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What states have the most Home Based Data Science Ngo jobs?

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Infographic showing various Home Based Data Science Ngo job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Operations Data Scientist

Diamondback Energy

Midland, TX • On-site

Full-time

Re-posted 27 days ago


Diamondback Energy rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

9th of 87 rated oil and gas companies


Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.
The Operations Data Scientist transforms complex operational, production, and reliability data into actionable insights that improve decision-making, optimize performance, and support strategic initiatives. This role partners with cross-functional teams to develop predictive models, analytics, and reporting solutions that enhance operational efficiency, reduce risk, and improve asset reliability. The ideal candidate combines strong technical expertise with the ability to translate business challenges into data-driven solutions and effectively communicate insights to both technical and non-technical audiences.
Job Duties and Responsibilities:
Include but are not limited to:
  • Develop and maintain predictive, statistical, and reliability models using operational, production, and maintenance data to support performance optimization and risk reduction.
  • Analyze structured and unstructured data to identify trends, anomalies, and opportunities for operational improvement.
  • Perform forecasting, scenario modeling, and techno-economic analysis to support planning, prioritization, and capital allocation decisions.
  • Design and support proactive monitoring tools (e.g., Operate-by-Exception workflows) to identify high-risk assets and emerging operational issues.
  • Build and maintain dashboards, reports, and executive-level summaries using business intelligence tools.
  • Write and manage SQL queries, data transformations, and analytical data models within cloud-based data platforms.
  • Collaborate with cross-functional teams (Operations, Engineering, Maintenance, Reliability, IT, and Finance) to define requirements and deliver scalable data solutions.
  • Support data integration, data quality, and governance to ensure accurate, consistent, and reliable reporting.
  • Identify and implement opportunities for automation, advanced analytics, and process improvements.
  • Present insights and recommendations, translating data into clear, actionable business strategies.

Required Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Analytics, or a related STEM field.
  • 7+ years of experience in data science, advanced analytics, or a related quantitative field.
  • Strong proficiency in Python and SQL for data analysis, modeling, and transformation.
  • Experience working with operational, production, maintenance, or time-series data.
  • Strong foundation in statistics, applied mathematics, and machine learning methods.
  • Experience with cloud-based data platforms (e.g., Snowflake, Databricks, or similar).
  • Experience with business intelligence and data visualization tools (e.g., Power BI, Tableau, or Spotfire).
  • Strong analytical, problem-solving, and critical thinking skills.
  • Ability to work independently while collaborating effectively across technical and business teams.
  • Strong communication skills, with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:
  • Master's degree in Data Science, Statistics, Engineering, Analytics, or a related field.
  • Experience in oil and gas, industrial operations, manufacturing, or other asset-intensive environments.
  • Familiarity with reliability modeling techniques (e.g., Weibull, Cox proportional hazards, Kaplan-Meier).
  • Experience with anomaly detection, predictive maintenance, and asset performance optimization.
  • Experience supporting digital transformation initiatives, Operate-by-Exception workflows, or AI-enabled solutions.
  • Experience with image analytics, drone inspection analytics, or computer vision

Relocation:
This position is not available for relocation assistance.
Work Authorization:
Diamondback Energy is not currently sponsoring employment visas for this position.
Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.

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