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Data Science Assistant Jobs in Buffalo, NY (NOW HIRING)

CHILDANDFAMILYSERVICES

Data Intern

Cheektowaga, NY · On-site +1

Intern Activities: * Assist with data gathering, cleaning, and transformation for reporting and ... Current enrollment in a Bachelor's or Master's program in Data Science, Computer Science ...

Munich Re

Technical Architect - Data, Analytics & AI

Buffalo, NY · Hybrid

$61.75 - $79.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Lactalis American Group , Inc.

Sensory Science Intern

Buffalo, NY · On-site

$14.50 - $19.25/hr

  • Retirement

  • PTO

... * Assist the sensory scientists in developing and maintaining the Lactalis Passion for Taste program. * Support the execution of different sensory tests, data entry, analysis, reporting, and sample ...

Lactalis

Sensory Science Intern

Buffalo, NY · On-site

$14.50 - $19.25/hr

  • Retirement

  • PTO

... * Assist the sensory scientists in developing and maintaining the Lactalis Passion for Taste program. * Support the execution of different sensory tests, data entry, analysis, reporting, and sample ...

Imagine Staffing Technology

HR Coordinator

Cheektowaga, NY · On-site

$23 - $25/hr

  • Retirement

The organization specializes in areas such as data science, cybersecurity, autonomous systems ... You will coordinate recruitment activities, assist with HR reporting and employee relations ...

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All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Buffalo, NY

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Buffalo, NY?

The most popular types of Data Science jobs in Buffalo, NY are:

What are popular job titles related to Data Science Assistant jobs in Buffalo, NY?

For Data Science Assistant jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Data Science Assistant jobs in Buffalo, NY look for?

The top searched job categories for Data Science Assistant jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Data Science Assistant jobs?

Cities near Buffalo, NY with the most Data Science Assistant job openings:

Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Buffalo, NY as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Data Intern

Child & Family Services of Erie County

Buffalo, NY • On-site, Remote

Internship

Re-posted 6 days ago

Job description

Overview

The Data Intern will work closely with the Data Analyst to support a variety of data-related projects and daily operations. This role is ideal for a college student seeking hands-on experience in data analytics, business intelligence, and organizational reporting.

Intern Activities:

  • Assist with data gathering, cleaning, and transformation for reporting and dashboard development.
  • Support the creation and maintenance of dashboards, logic models, and scorecards.
  • Help document data flows, relationships, and processes (e.g., ER diagrams, data dictionaries).
  • Participate in data validation and quality assurance activities.
  • Aid in preparing reports for program evaluation, strategic planning, and committee participation.
  • Contribute to the organization and review of program data needs across multiple systems (e.g., EHRs, BI platforms, Odoo, FAMs).
  • Support the implementation of artificial intelligence initiatives and learning groups as directed.
  • Assist with documentation and communication of data findings for various audiences.
  • Attend relevant meetings and work groups as needed.

Minimum Requirements

  • Current enrollment in a Bachelor’s or Master’s program in Data Science, Computer Science, Information Systems, or a related field.
  • Must be enrolled in an internship program and receiving school credit for internship hours
  • Foundational knowledge of data modeling, data gathering, and data cleansing.
  • Proficiency in Microsoft Excel and basic SQL.
  • Familiarity with dashboarding tools (e.g., Power BI, Tableau, Sisense).
  • Strong analytical and problem-solving skills.
  • Ability to work independently and collaboratively.
  • Good written and oral communication skills.
  • Interest in data analytics and its impact on organizational outcomes.

Internship Details

  • Supervision and mentorship provided by the Data Analyst will occur on a bi-weekly basis. Supervision meetings will be scheduled to provide guidance, review progress, answer questions, and support professional development. Additional check-ins or support sessions can be arranged as needed to ensure the intern’s learning goals are met.
  • Opportunity to participate in team meetings, training, and collaborative projects.
  • C+FS offers a wide variety of programs. As the Data Intern, you will have the opportunity to learn more about how non-profit agencies support communities and make a positive impact.
  • Flexible schedule to accommodate academic commitments.
  • Onsite or remote options may be available.

Students should be local to the WNY area.

This is an unpaid internship.