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

Raw Material Lab Analyst

Getzville, NY · On-site

$62K - $67K/yr

This entry-level position will provide hands-on laboratory support for our engineering team and ... Enter and maintain laboratory data in applicable databases, spreadsheets and/or laboratory ...

Raw Material Lab Analyst

Getzville, NY · On-site

$62K - $67K/yr

This entry-level position will provide hands-on laboratory support for our engineering team and ... Enter and maintain laboratory data in applicable databases, spreadsheets and/or laboratory ...

This entry-level position will provide hands-on laboratory support for our engineering team and ... Enter and maintain laboratory data in applicable databases, spreadsheets and/or laboratory ...

Raw Material Lab Analyst

Getzville, NY · On-site

$62K - $67K/yr

This entry-level position will provide hands-on laboratory support for our engineering team and ... Enter and maintain laboratory data in applicable databases, spreadsheets and/or laboratory ...

Intern Application Developer - Adobe - 2027

Buffalo, NY · On-site

$18.75 - $24.50/hr

Many interns join IBM with a foundation in computer science, software engineering, or related ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Many interns join IBM with a foundation in computer science, software engineering, or related ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Intern Application Developer - Adobe - 2027

Buffalo, NY · On-site

$18.75 - $24.50/hr

Many interns join IBM with a foundation in computer science, software engineering, or related ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Showing results 21-40

Entry Level Data Science information

See Buffalo, NY salary details

$10

$18

$26

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

As of Sep 4, 2026, the average hourly pay for entry level data science in Buffalo, NY is $18.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.72 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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.

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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science 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, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

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 Entry Level Data Science jobs in Buffalo, NY?

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

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

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

Infographic showing various Entry Level Data Science job openings in Buffalo, NY as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $38,387 per year, or $18.5 per hour.

Managed Services - SAS BI Developer - Senior Associate

Pwc

Buffalo, NY • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - SAS BI Developer - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Data, Analytics & AI practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, anticipate the needs of your teams and clients, and deliver quality solutions. You will navigate increasingly complex situations, growing your personal brand and enhancing your technical skills.
In this role at PwC, you will be part of a dynamic team that focuses on leveraging data to drive insights and make informed business decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. This position offers the opportunity to deepen your skills in data analysis and client support, contributing to optimizing operations and achieving strategic goals.
Responsibilities
- Analyzing complex datasets to extract actionable insights and support data-driven decision-making
- Developing and implementing data visualization solutions using tools like Power BI and Tableau
- Conducting predictive modeling and statistical analysis to identify trends and inform strategic planning
- Collaborating with clients to understand their data needs and deliver tailored analytics solutions
- Managing data integrity and quality to validate reliable and accurate reporting
- Utilizing Microsoft SQL Server Data Tools for efficient data manipulation and analysis
- Creating and maintaining dashboards to track key performance indicators and business metrics
- Leading research initiatives to explore new data analytics methodologies and technologies
- Preparing comprehensive reports and presentations to communicate findings and recommendations
- Supporting the development of data-driven strategies to optimize client operations and achieve business goals
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Utilizing advanced data analysis techniques to drive insights
- Developing complex data models to support business decisions
- Leveraging Power BI and Tableau for impactful data visualization
- Conducting predictive analytics to anticipate client needs
- Excelling in complex data analysis and statistical methodologies

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK