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Entry Level Data Science Jobs in Rochester, NY (NOW HIRING)

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational ... Bachelor's degree in a related field is preferred, including Data Analytics, Data Science, Computer ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

General Description This is an entry-level administrative position providing data collection and ... Associate's degree in Business, Public Administration, or Social Sciences, and one (1) year of ...

Project Assistant

Rochester, NY · On-site

$46K - $59K/yr

... is an entry-level administrative position providing data collection and analysis support to ... Associate's degree in Business, Public Administration, or Social Sciences, and one (1) year of ...

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Entry Level Data Science information

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How much do entry level data science jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for entry level data science in Rochester, NY is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $21.11 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Rochester, NY? The most popular types of Data Science jobs in Rochester, NY are:
What are popular job titles related to Entry Level Data Science jobs in Rochester, NY? For Entry Level Data Science jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Entry Level Data Science jobs? Cities near Rochester, NY with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Rochester, NY as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $39,101 per year, or $18.8 per hour.
Data Analyst 1

Data Analyst 1

Cooper Companies

West Henrietta, NY • On-site

$28K/yr

Full-time

Posted 6 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. 

Job Summary

Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The position focuses primarily on data collection and visual design activities, with exposure to less complex data analysis and reporting. Visual design may include reworking graphs, applying dashboard templates, and other responsibilities as assigned. This role may also support data recalibrations on a six-month cadence (in Tableau or Excel). The role works under the guidance of senior analysts and follows established metrics and reporting standards to execute tasks. Clear communication, attention to detail, and willingness to learn are essential for success.

Knowledge, Skills and Abilities:

Required:

  • Minimum of 2 years of relevant experience in data collection, data entry, reporting, or analytics support, or
  • Associate degree with 1 or more years of relevant experience, or
  • Bachelor's degree in a related field is preferred, including Data Analytics, Data Science, Computer Science, Mathematics, or Information Technology.
  • Relevant experience with data collection or data entry required.
  • Preferred experience in a warehouse setting or manufacturing.
  • Proficiency in Microsoft Excel, including data organization and basic analysis functions.
  • 0 to 1+ years of experience in SQL (writing simple queries, including joins, filtering, and aggregation).
  • Basic understanding of analytics (statistical analysis, pattern recognition, data interpretation, problem-solving).
  • Proficiency in Microsoft Office (Word, SharePoint, etc.)
  • Willingness to follow standardized departmental, project management, and IT processes.
  • Ability to work within a team environment.
  • Excellent verbal and written communication skills.

Preferred

  • 0 to 3+ years of experience in Tableau Desktop or PowerBI (or an equivalent data visualization tool).
  • Experience in Tableau Prep or Alteryx.
  • Experience writing scripts using Microsoft PowerShell.

Work Environment 

  • On-site, 5 days a week
  • Relevant experience with data collection or data entry required.
  • Preferred experience in a warehouse setting or manufacturing.

For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $28,307.00 and $77,743.00 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.

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. 

Essential Functions & Accountabilities:

  • This role focuses on performing basic data analysis, preparing simple reports and visualizations, working on minor tickets (break/fixes, investigations, etc.), and providing support to senior analysts as needed. 
  • Additional responsibilities include collecting, organizing, and validating distribution data to ensure accuracy, completeness, and alignment with established data quality standards and procedures, and visual design within Tableau Desktop, with the goal of enhancing data storytelling and supporting consistent reporting. Visual design includes rebuilding visuals for straightforward reports or developing templates that help senior analysts deliver standardized reporting.

Travel:

  • Occasional travel may be required (5-10%+ annually). This is an on-site position requiring daily in-office attendance Monday through Friday, and as needed.