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Internship Data Science Ngo Jobs in Rochester, NY

Digital Analyst Internships

Rochester, NY

$97.80K - $115.60K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Digital Analyst Internships

Geneseo, NY

$95K - $112.30K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

Staff Wetland Scientist 1

Rochester, NY ยท On-site

$45.26K - $65.56K/yr

Conduct routine data collection, analysis, and reporting using approved standard procedures ... Resource/Science discipline. * 0-3 years of related work experience, internships included.

By submitting your interest, you'll be among the first to know when internship opportunities open ... Strong analytical and problem-solving skills with the ability to interpret complex data

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Internship Data Science Ngo information

See Rochester, NY salary details

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How much do internship data science ngo jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship data science ngo in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Science professional at an NGO, and why are they important?

To thrive as a Data Science intern at an NGO, a solid foundation in statistics, data analysis, and programming (usually Python or R) is essential, along with ongoing or completed coursework in a related field. Familiarity with data visualization tools (such as Tableau or Power BI), spreadsheet software, and basic knowledge of databases are typically expected. Strong communication, teamwork, and adaptability help interns effectively translate data insights for non-technical stakeholders and collaborate within mission-driven teams. These skills are crucial for generating actionable insights that support the NGO's objectives and maximize its social impact.

What types of projects can I expect to work on during a Data Science internship at an NGO?

As a Data Science intern at an NGO, you'll typically work on projects that involve analyzing and interpreting data to support the organization's mission, such as evaluating program effectiveness, donor engagement, or community impact. You might clean and visualize data, build predictive models, or develop dashboards for stakeholders. These projects often require collaboration with program managers, communications teams, and sometimes external partners to ensure insights are actionable and impactful. The work environment is usually collaborative and mission-driven, offering opportunities to learn from experienced professionals while contributing to meaningful causes.

What does an Internship Data Science position at an NGO involve?

An Internship Data Science position at an NGO typically involves supporting data-driven projects that help advance the organization's mission. Interns may collect, clean, and analyze data, create visualizations, and assist in preparing reports that inform decision-making and measure program impact. This role often requires working with real-world social, environmental, or humanitarian datasets and collaborating with other team members. It's a valuable opportunity to gain practical experience in applying data science skills to address social issues.
What are the most commonly searched types of Data Science Ngo jobs in Rochester, NY? The most popular types of Data Science Ngo jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Internship Data Science Ngo jobs? Cities near Rochester, NY with the most Internship Data Science Ngo job openings:
Data Platform Engineer

Data Platform Engineer

Avani Technology Solutions, Inc.

Rochester, NY โ€ข On-site

$113K - $135.70K/yr

Full-time

Posted yesterday


Job description

Position: Data Platform Engineer
Location: Rochester, NY
Duration: 12+ Months
Hadoop and Informatica experience are a MUST
Description:
The Data Platform Engineer engages in the design, development and maintenance of the big data platform. This platform hosts structured and non-structured data sets that support various business operations and enable data-driven decisions. The role involves administering various data-hub ecosystem open source software tools along with other vendor supported tools like HortonWorks Hadoop, CISCO DV, IBM COGNOS tools. The DPE will work closely with Data Scientists, infrastructure Administrators and Data Platform Architects to ensure the platform meets business demands.
Essential Resource Responsibilities / Accountabilities: Level I- Installs and /or upgrades, configures, administers and troubleshoots the data hub software environment in order to achieve a reliable, highly available, well performing system- Provides direct technical support to data warehouse user community, and triages support to appropriate personnel when technical support is not sufficient.- Develops standards, policies and procedures for the form, structure and attributes of the data warehouse tools and systems - Develops data/information quality metrics- Develops processes to monitor cluster performance and resource usage- Works with Server Engineers to install new nodes, resolve node failures, and apply patches and upgrades- Maintains processes that feed data from various systems across the enterprise, ensuring data quality and process efficiency- Follows and helps streamline procedures for provisioning access to the BI system and establishing security Minimum Resource Qualifications:- Bachelor's degree in Information Technology, Computer Science, Software Engineering, or closely related field (or four additional years related work experience in lieu of bachelors)- Related work experience (i.e. Co-ops/Internships) preferred- Ability to take initiative and have a strong vision for driving large scale distributed data platforms- Experience with ecosystem components such as Hadoop, Cisco DV, Cognos, etc- Familiarity with Linux system administration, Linux scripting and networking skills- Proficiency in a programming language such as Python or Java is a plus- Experience with relational and NoSQL databases, including modeling and writing complex queries is a plus- MUST have EXCELLENT communication and
analytical skills Level I - Ability to perform routine tool maintenance working with the vendors and others on the team- Ability to identify data warehouse application and data issues- Monitor system uptime and performance- Escalate appropriately to management and/or more senior Tool Administrators- Minimum of 3 years' experience in tool administration- Demonstrated experience with Data Warehousing- Proactively identify and address risks on system before they become systems issues- Research and resolve data warehouse application and data issues
Physical Requirements- Ability to travel across regions Physical Requirements: In support of the Americans with Disabilities Act, this resource requirements document lists only those responsibilities and qualifications deemed essential to the position Equal Opportunity
Employer: As such, requires all suppliers of temporary staffing resources to affirm the rights of every person to participate in all aspects of employment without regard to race, color, sex/gender, age, disability, religion, creed, citizenship status, national origin, veteran status, military status, marital status, familial status, domestic violence victim status, sexual orientation, gender identity, predisposing genetic characteristic, genetic information, or any other status protected under the law