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Climate Data Science Jobs in Texas (NOW HIRING)

... combat climate change, and reliably connect humans and the world. With revenue of more than $9 ... Partner with data science, engineering, legal, cybersecurity, and product teams to embed governance ...

... combat climate change, and reliably connect humans and the world. With revenue of more than $9 ... Partner with data science, engineering, legal, cybersecurity, and product teams to embed governance ...

... climate change, and environmental policy as outlined in the AP Environmental Science framework ... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects ...

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Climate Data Science information

How do climate data scientists typically collaborate with interdisciplinary teams to address complex environmental challenges?

Climate data scientists frequently work alongside meteorologists, ecologists, policy experts, and software engineers to analyze and interpret large datasets related to climate patterns and environmental impacts. Collaboration is key, as insights from different disciplines help ensure that the models and analyses are both scientifically robust and actionable for real-world decision making. Team members often hold regular meetings to discuss data sources, share findings, and align on research goals, which helps to bridge knowledge gaps and foster innovative solutions to climate-related problems.

What is climate data science?

Climate data science is an interdisciplinary field that uses statistical, computational, and analytical methods to gather, process, and interpret data related to the Earth's climate. Professionals in this area work with large datasets from sources like satellites, weather stations, and climate models to identify trends, make predictions, and inform policy decisions. Their work supports research on climate change, helps organizations adapt to environmental shifts, and contributes to the development of sustainable solutions.

What are the key skills and qualifications needed to thrive as a Climate Data Scientist, and why are they important?

To thrive as a Climate Data Scientist, you need strong analytical skills, a background in statistics or environmental science, and proficiency in programming languages such as Python or R, often supported by a relevant degree. Familiarity with climate modeling tools, geospatial analysis software (like ArcGIS or QGIS), and data visualization platforms is typically required. Excellent problem-solving abilities, collaboration, and clear communication are crucial soft skills for translating complex data into actionable insights. These skills enable accurate interpretation of climate data, effective teamwork, and impactful communication of findings to inform climate policy and research.

Full-time

Posted 27 days ago


Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ:ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more atwww.analog.comand onLinkedInandTwitter (X).

AI Governance Analyst

About the Role

An AI Governance Analyst helps an organization build, monitor, and improve the policies, controls, and oversight structures that ensure artificial intelligence systems are safe, ethical, compliant, and aligned with business goals. This role sits at the intersection of technology, policy, and risk management, making it ideal for someone who can think analytically, communicate clearly, and navigate ambiguity with confidence.

Key Responsibilities

1. Policy Development & Compliance

  • Draft, refine, and maintain internal AI governance policies, standards, and procedures.
  • Translate emerging regulations (e.g., EU AI Act, U.S. AI Executive Orders, NIST AI RMF) into actionable internal requirements.
  • Conduct compliance assessments for AI systems across the organization.

2. Risk Assessment & Mitigation

  • Evaluate AI models and use cases for risks related to fairness, privacy, security, transparency, and societal impact.
  • Support model risk management processes, including documentation, validation, and lifecycle monitoring.
  • Recommend mitigation strategies and track remediation progress

3. CrossFunctional Collaboration

  • Partner with data science, engineering, legal, cybersecurity, and product teams to embed governance controls into AI development workflows.
  • Facilitate AI review boards or model approval committees.
  • Provide guidance to teams on responsible AI best practices.

4. Monitoring & Reporting

  • Develop metrics and dashboards to track AI system performance, compliance status, and governance maturity.
  • Prepare reports for leadership, auditors, and regulators.
  • Conduct periodic audits of AI systems to ensure ongoing adherence to policies.

5. Research & Thought Leadership

  • Stay current on global AI regulations, standards, and industry trends.
  • Analyze new developments and advise leadership on strategic implications.
  • Contribute to training materials and awareness programs on responsible AI.

In essence, this role operationalizes governance on a daily basis; intake, risk, controls, so the program can scale across all the AI workflows without being bottlenecked.

Required Qualifications

  • Bachelor's degree in computer science, data science, public policy, law, ethics, or a related field.
  • Strong understanding of AI/ML concepts, even if not a handson model builder.
  • Experience with risk management, compliance, or policy development.
  • Excellent analytical, writing, and communication skills.
  • Ability to work with technical and nontechnical stakeholders.

Preferred Qualifications

  • Master's degree in a relevant field.
  • Familiarity with frameworks such as the NIST AI Risk Management Framework or ISO/IEC 42001.
  • Experience in regulated industries (finance, healthcare, government, etc.).
  • Understanding of data governance, privacy laws, and cybersecurity fundamentals.
  • Prior work with model documentation tools or AI auditing processes.

Core Competencies

  • Ethical reasoning - ability to identify and evaluate complex tradeoffs.
  • Systems thinking - understanding how AI systems interact with people, processes, and policies.
  • Risk mindset - comfort assessing uncertainty and proposing safeguards.
  • Clear communication - translating technical concepts into accessible language.
  • Adaptability - navigating a fastmoving regulatory and technological landscape.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/Days