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Entry Level Data Scientist Jobs in Rochester, NY

L3HHCM20

Associate, Electrical Engineer

Rochester, NY · On-site

$62K - $115K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Science Engineering or related field or have completed their bachelor's degree within the past 12 ...

University of Rochester

Radiology Technologist

Rochester, NY · On-site

$31.31 - $42.27/hr

Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 500221 Imaging Sciences-General ... Band One (I): Entry Level Radiologic Technologist - Technologists new to URMC Imaging Department ...

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All JobsData Scientist JobsEntry Level Data Scientist JobsEntry Level Data Scientist Jobs in Rochester, NY

Entry Level Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do entry level data scientist jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level data scientist in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Rochester, NY? The most popular types of Data Scientist jobs in Rochester, NY are:
What are popular job titles related to Entry Level Data Scientist jobs in Rochester, NY? For Entry Level Data Scientist jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Rochester, NY look for? The top searched job categories for Entry Level Data Scientist jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Entry Level Data Scientist jobs? Cities near Rochester, NY with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you
Research Specialist I

Research Specialist I

University of Rochester

Rochester, NY • On-site

$48K - $67K/yr

Full-time

Re-posted 26 days ago

University Of Rochester rating

8.4

Company rating: 8.4 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

81st of 555 rated colleges and universities

Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
601 Elmwood Ave, Rochester, New York, United States of America, 14642
Opening:
Worker Subtype:
Regular
Time Type:
Full time
Scheduled Weekly Hours:
40
Department:
400115 Neurology/CTN Cell & Gene Ther
Work Shift:
UR - Day (United States of America)
Range:
UR URG 107
Compensation Range:
$48,400.00 - $67,800.00
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
Under general guidance and with latitude for exercising independent technical judgment, performs research related activities limited in scope and complexity in a specialized field. Provides direct research support and offers opportunity for future experimental and scientific development. This work will support the planning, design, and execution of experiments as well as direct studies. The Research Specialist will use existing protocols and will collaborate with other laboratories. Works independently with occasional input on modifying, varying or adapting standard laboratory procedures to meet special needs of research projects.
GENERAL PURPOSE:
Provides direct research support at the professional entry level.
TYPICAL ASSIGNMENTS AND RESPONSIBILITIES:
Works independently with only occasional suggestions in modifying, varying or adapting standard procedures and experiments in the culture of human or rodent primary, Embryonic Stem cells (ES), Human Embryonic Kidney 293 Cells (HEK293) cells or Induced Pluripotent Stem (iPS) cells in a Good Laboratory Practice (GLP) environment. Works independently with only occasional suggestions in modifying, varying or adapting standard laboratory procedures in a variety of moderately-complex rodent surgery, microscopy including time- lapse imaging, histological procedures, laboratory tests, analyses and observations which may require nonstandard procedures and complex instrumentation. Troubleshoots malfunctioning equipment and makes simple repairs Analyzes material with computer-aided microscopy. Performs analyses and scientific data reductions by using standard methods and develops modifications of standard methods to meet special situations. Searches literature for references to technical problems involved in research projects; writes technical protocols; performs standard statistical analyses of data; and assists in the preparation of materials for publication. Frequently gives both oral and written reports, including but not limited to, statistical and photographic analysis of data.
Other duties as assigned.
REQUIREMENTS:
  • Bachelor's degree in biological discipline or related field.
  • One year of applicable experience in laboratory setting.
  • Or equivalent combination of education and experience required.
  • Applicants should be self-motivated and capable of working independently as well as in a collaborative setting.
  • Strong interpersonal and communication skills, including written communication.
  • Ability to readily learn new experimental techniques.
  • Strong analytical, communication, organizational and computer skills.

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

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