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Remote Data Science Ngo Jobs in Georgetown, TX (NOW HIRING)

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

Data Science owns problem formulation, features, model and scoring logic, evaluation, and model ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

This is a part-time, semesterly, and remote role (~5-7 hours/week). What You'll Do * Bring Data ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Exposure to data science workflows, machine learning, or AI deployments is a plus * Strong ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

... for a Senior Data Scientist, Applied ML to design, build, and deploy models for critical ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Bachelor's degree in Information Systems, Computer Science, Statistics, or related field * 2+ years of experience in data analysis, preferably in an IVR or contact center environment * Experience ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Strong understanding of computer science fundamentals (data structures, algorithms, data processing)

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Showing results 21-40

Remote Data Science Ngo information

See Georgetown, TX salary details

$38.6K

$132.4K

$186.8K

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

As of Sep 6, 2026, the average yearly pay for remote data science ngo in Georgetown, TX is $132,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $154,700.00 per year, depending on experience, location, and employer.

What is a remote data scientist at an NGO?

Remote data science jobs at NGOs involve using statistical analysis, machine learning, and data visualization to support the organization’s mission from any location. Data scientists in these roles analyze large datasets to inform decision-making, measure impact, and optimize programs. Tasks may include building data dashboards, developing predictive models, and communicating insights to non-technical stakeholders. Working remotely allows professionals to contribute to global causes without being tied to a specific office, making these roles flexible and accessible.

What skills and qualifications are needed to thrive as a remote data scientist at an NGO?

To thrive as a Remote Data Scientist at an NGO, you need strong analytical skills, proficiency in statistics, and a degree in data science, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, along with experience in cloud-based collaboration or project management systems, is typically required. Excellent communication, problem-solving, and self-motivation are vital soft skills for conveying insights and working independently within dispersed teams. These skills ensure the effective analysis and presentation of data to drive evidence-based decisions that further the NGO's mission.

What are common challenges faced by data scientists working remotely for NGOs, and how can they be addressed?

Remote data scientists in NGOs often face challenges such as limited access to high-quality data, coordinating with geographically dispersed teams, and aligning technical solutions with organizational goals. Clear communication and regular virtual meetings can help bridge collaboration gaps, while utilizing secure cloud-based data storage ensures access to necessary datasets. Additionally, understanding the NGO's mission and maintaining flexibility in problem-solving can help data scientists deliver impactful insights despite resource constraints.

What job categories do people searching Remote Data Science Ngo jobs in Georgetown, TX look for?

The top searched job categories for Remote Data Science Ngo jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Remote Data Science Ngo jobs?

Cities near Georgetown, TX with the most Remote Data Science Ngo job openings:

Technical Product Manager for AI Security Products

HiddenLayer

Austin, TX • On-site, Remote

$165K - $191K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago


Key responsibilities

  • Translate customer needs, technical insights, and the evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques.

  • Manage, maintain, and prioritize HiddenLayer's backlog of product and feature ideas, and collaborate with internal stakeholders to define requirements and deliver high-quality product capabilities and user experience.

  • Maintain vigilance and knowledge of the Adversarial AI Threat Landscape and MITRE ATLAS to define and prioritize detection requirements for HiddenLayer's products.


Job description

Technical Product Manager for AI Security Products

Remote [within the US]

ABOUT THE ROLE:

HiddenLayer is entering an exciting new chapter in our company history and we are seeking a Technical Product Manager for our AI Security products to drive the development of a groundbreaking cybersecurity platform to secure and protect against adversarial AI attacks. In this role, you'll have the opportunity to work with industry pioneers in data science and artificial intelligence threat research in a fast-paced emerging market. 

As a Product Manager with a strong background in cybersecurity and AI, you will play a crucial role in the development, enhancement, and delivery of HiddenLayer's AISec Platform to protect and defend generative AI and agentic systems against cybersecurity threats and attacks.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. 

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

You will be responsible for translating customer needs, technical insights, and the evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques. Your exceptional understanding of both machine learning and cybersecurity will allow you to effectively guide cross-functional teams, bridging the gap between sales engineering, product development, data science, threat research, and professional services.

  • Product Roadmap Planning: Manage, maintain, and prioritize HiddenLayer's backlog of product and feature ideas
  • Product Execution: Collaborate with internal stakeholders (engineering, data science, and threat research) to define requirements and deliver high-quality product capabilities and user experience
  • Adversarial AI Threat Landscape:  Maintaining vigilance and knowledge of the Adversarial AI Threat Landscape and MITRE ATLAS to define and prioritize detection requirements for HiddenLayer's products
  • Market Analysis: Conduct comprehensive market research and competitive analysis to identify emerging trends, opportunities, and potential threats in the machine learning and cybersecurity landscape
  • Customer Insights: Engage with customers and gather feedback to understand their pain points, requirements, and preferences to drive product improvements.
  • Requirements Definition: Clearly define product requirements, use cases, and specifications, collaborating with engineering, data science, and threat research teams to ensure the feasibility and effectiveness of solutions

Go-to-Market Launches: Coordinate product launches and develop effective go-to-market strategies, collaborating with marketing, sales, and support teams to drive product adoption and success in the market.

WHO YOU ARE:

  • Candidates could be:
    • Technical Product Managers in data science or machine learning operations who seek to delve into cybersecurity
    • Technical Product Managers in cybersecurity who have data science or AI operations experience
    • Former Data Scientists, AI Engineers, or developers who want to make a career pivot into product management
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • In-depth knowledge of AI techniques, algorithms, frameworks, and AI Operation tools.
  • Strong understanding of cybersecurity principles, best practices, and industry standards.
  • Experience working with cross-functional teams, including engineering, data science, threat research, marketing, sales, and support.
  • Proficient in Agile product development methodologies and project management tools.
  • Excellent communication, presentation, and interpersonal skills.
  • Ability to analyze complex technical challenges and propose effective solutions.
  • Prior experience in developing and/or launching successful machine learning and/or cybersecurity products is a plus.
  • Flexible and adaptable self-starter with strong relationship building skills
  • Collaborative and team oriented attitude
  • Intellectual curiosity, humility, accountability, and positive approach

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures. 

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses. 
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer  is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.