1

Internship Reddit Data Science Jobs in Rochester, NY

Digital Analyst Internships

Geneseo, NY · On-site

$95K - $112K/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

Rochester, NY · On-site

$97K - $115K/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 · On-site

$45K - $65K/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

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

next page

Showing results 1-20

Internship Reddit Data Science information

See Rochester, NY salary details

$11

$22

$41

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

As of Jun 24, 2026, the average hourly pay for internship reddit data science 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 Reddit Data Science, and why are they important?

To thrive as a Reddit Data Science intern, you need a solid background in statistics, programming (Python or R), and data analysis, usually supported by progress toward a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and present data-driven insights. These skills are crucial for extracting actionable information from Reddit's large datasets, driving informed decisions, and contributing to product and user experience improvements.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data points, or tasks to improve model performance efficiently.

Is a data science internship worth it?

A data science internship provides practical experience with tools like Python, R, and SQL, and helps develop skills in data analysis, machine learning, and communication. It can improve job prospects, build a professional network, and often leads to full-time opportunities. The value depends on the quality of the internship and the learning opportunities it offers.

What is an Internship Reddit Data Science position?

An Internship Reddit Data Science position is a temporary role where students or recent graduates work with Reddit's data science team. Interns assist with analyzing large datasets, building models, and deriving insights to improve user experience and business outcomes. The role typically involves working with programming languages like Python or R, using tools for data analysis and visualization, and collaborating with other engineers and data scientists. It's a valuable opportunity for gaining hands-on experience in real-world data science projects within a dynamic tech company. The internship can help build skills and open doors for future careers in data science.

What is the difference between Internship Reddit Data Science vs Data Analyst Intern?

AspectInternship Reddit Data ScienceData Analyst Intern
Required skillsBasic programming, statistics, data manipulationData visualization, Excel, SQL, basic statistics
Work environmentTech companies, startups, online platformsBusiness, finance, marketing sectors
Typical tasksData cleaning, model development, analysisReporting, dashboards, data interpretation
Common industry usageTech, social media, online communitiesCorporate, marketing, finance

Internship Reddit Data Science and Data Analyst Intern roles share foundational skills like data manipulation and basic analytics. However, Reddit Data Science internships focus more on developing models and working with large datasets in tech environments, while Data Analyst Internships emphasize reporting and visualization in business contexts. Both roles provide valuable experience but cater to different career paths within data fields.

What types of projects and responsibilities can I expect as a Data Science Intern at Reddit?

As a Data Science Intern at Reddit, you can expect to work on a variety of projects ranging from analyzing user engagement data to building predictive models that support product and content recommendations. You'll collaborate closely with data scientists, engineers, and product managers, often using tools like Python, SQL, and machine learning libraries. Common responsibilities include cleaning and visualizing data, conducting exploratory analysis, and presenting insights to stakeholders. This hands-on experience will help you develop both technical and communication skills in a dynamic, team-oriented environment.

Is 30 too late for data science?

For an internship in Reddit Data Science or similar roles, starting at age 30 is not a barrier; many data scientists begin their careers later in life. Success depends on skills, relevant experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.
What are popular job titles related to Internship Reddit Data Science jobs in Rochester, NY? For Internship Reddit Data Science jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Internship Reddit Data Science jobs? Cities near Rochester, NY with the most Internship Reddit Data Science job openings:
Infographic showing various Internship Reddit Data Science job openings in Rochester, NY as of June 2026, with employment types broken down into 48% Full Time, 48% Part Time, and 4% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $46,185 per year, or $22.2 per hour.
Sustainability Data & Reporting Analyst

Sustainability Data & Reporting Analyst

Cooper Companies

Victor, NY

$71K - $95K/yr

Full-time

Posted 2 days ago


Job description

At CooperVision, a division of CooperCompanies, we're driven by a unifying purpose to help people to experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com.

  • This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)
  • This position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible for relocation assistance

Job Summary: 

The Sustainability Data & Reporting Analyst (hereafter "the role") supports the collection, structuring, and reporting of sustainability-related data across the organization. This role focuses on improving the accuracy, consistency, and timeliness of environmental data used for internal reporting and external disclosures.

Knowledge, Skills and Abilities:

Required:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Environmental Science or Sustainability, Information Systems, Engineering, etc.)
  • 1-3 years of experience supporting data analysis, reporting, or equivalent relevant internship experience. 
  • Experience working with data tools such as Tableau, Excel, or similar platforms is required.
  • Strong analytical and problem-solving skills with the ability to work with structured and unstructured data
  • Hands-on experience with data visualization tools such as Tableau (required)
  • Proficiency in Microsoft Excel, including data manipulation and analysis
  • Foundational understanding of data structures, data flows, and data governance principles
  • Strong attention to detail, particularly when working with data accuracy and transformation
  • Experience working across multiple systems and identifying relevant data sources (e.g., ERP, financial, or operational systems) to support data analysis and reporting
  • Comfortable operating in a dynamic environment with evolving data requirements and changing business needs
  • Strong verbal and written communication skills, with the ability to explain data concepts to non-technical stakeholders
  • Demonstrated ability to manage multiple tasks and priorities in a fast-paced environment
  • Capable of working independently once priorities are defined, with a proactive approach to problem-solving

Preferred

  • Familiarity with sustainability, environmental science, or ESG reporting concepts (e.g., Scope 1, 2, 3)
  • Exposure to product, packaging, or material data within enterprise or ERP systems
  • Exposure to ERP systems (e.g., Oracle, SAP, Baan) and understanding of how transactional data is structured and sourced
  • Understanding of data quality challenges related to sustainability or regulatory reporting
  • Experience using SQL, Python, or similar tools for data analysis or preparation
  • Experience working with large or complex datasets across multiple systems
  • Familiarity with enterprise systems or data pipelines
  • Internship or academic project experience involving real-world data analysis

Work Environment 

  • This is an on-site position requiring regular in-office attendance (5 days a week) in Victor, NY.
  • Standard office environment with regular computer-based work. May include prolonged periods of sitting and working with data across multiple systems

Experience:

  • 1-3 years of experience supporting data analysis, reporting, or equivalent relevant internship experience. 
  • Experience working with data tools such as Tableau, Excel, or similar platforms is required.

Education:

  • Bachelor's degree in a related field required (Data Analytics, Data Science, Environmental Science or Sustainability, Information Systems, Engineering, etc.)

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. 

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $71,971.00 and $95,961.00 per year and may include cost of living adjustments.  The actual base pay includes many factors and is subject to change and modification in the future.  This position may also be eligible for other types of compensation and benefits.

#LI-AK1

  • Collect, consolidate, and validate sustainability-related data from multiple internal systems, ensuring consistency, accuracy, and alignment to reporting requirements
  • Work with IT to support data integration, transformation, and flow into reporting systems
  • Support the preparation and maintenance of standardized data templates and assist in transforming data into formats required for sustainability reporting systems
  • Support the delivery of accurate and timely sustainability reporting aligned to internal and external requirements
  • Assess and validate that evolving sustainability data requirements (e.g., regulatory changes, transition from estimated to actual data) are supported by existing data structures and reporting systems
  • Support and coordinate user acceptance testing (UAT) activities, ensuring sustainability data outputs are aligned with business requirements and validated prior to reporting and downstream use
  • Identify and resolve data quality issues (e.g., inconsistencies, missing data, and unit conversions) and document data sources, processes, and assumptions to support transparency and audit readiness
  • Support the ongoing monitoring and validation of sustainability data, helping ensure quality issues are identified and resolved proactively to maintain audit readiness and reporting accuracy
  • Collaborate with cross-functional teams (e.g., EHS, IT, procurement, facilities, packaging engineering, and operations) to understand data sources and improve data collection, traceability, and consistency
  • Support efforts to improve and automate sustainability data collection processes to reduce manual effort and increase scalability
  • Support the collection, structuring, and validation of packaging and material composition data required for emerging regulatory requirements (e.g. EPR, recyclability, plastics disclosure)
  • Assist in mapping sustainability and packaging-related data to evolving regulatory and reporting requirements across global jurisdictions
  • Support the development of scalable data structures and governance processes for sustainability data
     

Travel Requirements:

  • Occasional domestic and international travel may be required (5-10%+ annually)
    Â