2

Remote Science Policy Analyst Jobs in Texas (NOW HIRING)

Remote (United States Only) Job Overview We are seeking experienced Civil Rights Attorneys to ... Policy Analysis * Statutory Interpretation * Critical Thinking * Attention to Detail

New

Remote (United States Only) Job Overview We are seeking experienced Civil Rights Attorneys to ... Policy Analysis * Statutory Interpretation * Critical Thinking * Attention to Detail

New

Remote (United States Only) Job Overview We are seeking experienced Civil Rights Attorneys to ... Policy Analysis * Statutory Interpretation * Critical Thinking * Attention to Detail

New

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Skilled at breaking down political institution analysis, policy evaluation, and research design for political science. Guides students through analyzing legislative processes, comparing political ...

Showing results 21-40

Remote Science Policy Analyst information

What is a remote science policy analyst?

A Remote Science Policy Analyst is a professional who analyzes scientific research, trends, and data to inform and develop public policies, often working from a remote location. They bridge the gap between scientific knowledge and policy-making by providing evidence-based recommendations to government agencies, nonprofit organizations, or private companies. Their work can involve preparing reports, drafting policy briefs, and communicating complex scientific information to diverse audiences, all while collaborating virtually with stakeholders. This role is ideal for those who have strong analytical skills and a passion for both science and public policy.

What is the difference between Remote Science Policy Analyst vs Remote Environmental Policy Analyst?

AspectRemote Science Policy AnalystRemote Environmental Policy Analyst
Required CredentialsBachelor's or higher in science, policy, or related fields; often requires knowledge of science and policyBachelor's or higher in environmental science, policy, or related fields; often requires environmental expertise
Work EnvironmentRemote, policy-focused organizations, government agencies, think tanksRemote, environmental NGOs, government agencies, consulting firms
Employer & Industry UsageGovernment, research institutions, policy organizationsEnvironmental NGOs, government agencies, consulting firms

The main difference between a Remote Science Policy Analyst and a Remote Environmental Policy Analyst lies in their focus area. The Science Policy Analyst concentrates on scientific research and its influence on policy, while the Environmental Policy Analyst specializes in environmental issues and regulations. Both roles require similar educational backgrounds and often work remotely for organizations involved in policy development and analysis.

What are the key skills and qualifications needed to thrive as a remote science policy analyst, and why are they important?

To thrive as a Remote Science Policy Analyst, you need a solid background in scientific research, policy analysis, and often a degree in a relevant scientific or policy field. Familiarity with data analysis tools, policy management software, and knowledge of regulatory frameworks is typically required. Exceptional written communication, critical thinking, and the ability to collaborate virtually are essential soft skills. These competencies ensure effective analysis, clear recommendations, and successful navigation of complex science-policy environments.

How does a remote science policy analyst collaborate effectively with stakeholders and team members across different time zones?

Remote Science Policy Analysts often work with diverse teams, policymakers, and researchers located in various regions, which makes effective virtual collaboration essential. Regular communication via emails, video conferences, and collaborative platforms like Slack or Microsoft Teams is crucial for staying aligned on project goals and policy developments. Flexible scheduling and clear documentation help manage time zone differences, ensuring smooth workflow and timely input from all parties. Building strong relationships remotely also involves proactive outreach and adaptability to different communication styles.

What are popular job titles related to Remote Science Policy Analyst jobs in Texas?

For Remote Science Policy Analyst jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Remote Science Policy Analyst jobs?

Cities in Texas with the most Remote Science Policy Analyst job openings:

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media