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Remote Data Science Social Good Jobs in Texas (NOW HIRING)

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

Fliff

Senior Data Scientist

Austin, TX · On-site +1

What began as a pioneering social sportsbook has evolved into a multi-vertical platform that is the ... The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function.

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Remote Data Science Social Good information

What is a Remote Data Science Social Good?

A Remote Data Science Social Good job involves using data science techniques to address social challenges, such as public health, education, poverty, or environmental issues, while working remotely. Professionals in this field analyze data, build models, and develop insights that can help non-profits, NGOs, or governmental organizations make data-driven decisions for positive social impact. These roles often require strong analytical skills, a passion for social causes, and the ability to collaborate virtually with diverse teams.

How do remote data science professionals working in social good organizations typically collaborate with non-technical stakeholders?

Remote data science professionals in social good organizations often work closely with program managers, policy experts, and community partners who may not have technical backgrounds. Effective collaboration involves translating complex data findings into actionable insights, creating clear visualizations, and maintaining open communication channels through regular virtual meetings or shared documentation. Building strong relationships and understanding the mission-driven context are key to ensuring that data-driven solutions truly support the organization's goals and the communities they serve.

What are the key skills and qualifications needed to thrive as a remote data science social good professional, and why are they important?

To thrive as a Remote Data Science Social Good professional, you need strong analytical skills, proficiency in statistics, and a solid background in data science or a related field—often supported by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with cloud-based data platforms are typically required. Excellent communication, collaboration, and problem-solving skills help you translate data insights into actionable impact for social good projects. These abilities ensure you can effectively analyze data remotely and drive meaningful change in nonprofit or civic-oriented organizations.

What are popular job titles related to Remote Data Science Social Good jobs in Texas?

For Remote Data Science Social Good jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Social Good jobs in Texas look for?

The top searched job categories for Remote Data Science Social Good jobs in Texas are:

What cities in Texas are hiring for Remote Data Science Social Good jobs?

Cities in Texas with the most Remote Data Science Social Good job openings:

Remote Data Science Social Good jobs near you

Software Developer 1688

Sistema Technologies, Inc.

Austin, TX • On-site, Remote

Full-time

Re-posted 24 days ago

Job description

Austin, TX
Software Developer - Solicitation# 529601688
Texas Health and Human Services Commission (HHSC)
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
Position will be 3 days remote with 2 days (Tues & Wed) required to be onsite. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius). **Subject to change per the hiring team**
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Actual
Years
Experience Years
Experience
Needed Required/
Preferred Skills/Experience 4 Required experience in AI/ML engineering or advanced data science 4 Required Proven track record of building and deploying production-grade autonomous agents. 4 Required Strong experience in context engineering 4 Required Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT. 4 Required Experience implementing RAG architectures using vector databases 4 Required Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) 4 Required Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation 4 Required Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls 4 Required Understanding of data privacy and handling of sensitive data (PII/PHI) 2 Preferred Experience building multi-agent or autonomous agentic workflows 2 Preferred Experience optimizing LLM cost, token usage, and performance 2 Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
I need Three References
Reference Name (Required): Title (Optional) Company Name (Required): Phone Number (Required include area code): E-mail address (Optional): Professional Relationship (Optional):
PeerCo-WorkerSupervisor
CustomerEnd-UserSubordinate
Reference Name (Required): Title (Optional) Company Name (Required): Phone Number (Required include area code): E-mail address (Optional): Professional Relationship (Optional):
PeerCo-WorkerSupervisor
CustomerEnd- UserSubordinate
Reference Name (Required): Title (Optional) Company Name (Required): Phone Number (Required include area code): E-mail address (Optional): Professional Relationship (Optional):
PeerCo-WorkerSupervisor
CustomerEnd- UserSubordinate

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