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Data Science Graduate Jobs in New York (NOW HIRING)

Data Scientist

Queens, NY · On-site

$126K/yr

Graduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Benefits: * Hybrid Work Schedule. * Generous Paid Time Off and Holidays. * An attractive and ...

Graduate level degree in a quantitative field such as, computer science, math, and physics * Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib Skills: * Agile Practices

Data Scientist II

Manhattan, NY · On-site

$165 - $246.20/hr

Graduate level degree in a quantitative field such as computer science, math, and physics * Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib * Skills: Agile Practices ...

Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field * 2+ years of industry work ...

Showing results 41-60

Data Science Graduate information

See New York salary details

$41K

$134.3K

$215K

How much do data science graduate jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science graduate in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

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

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What does a data science graduate do?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

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

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

What is a data science graduate?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.
Infographic showing various Data Science Graduate job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Adjunct Assistant Professor, Epidemiology & Biostatistics, School of Public Health - Multiple Positi

SUNY Downstate Health Sciences University

Brooklyn, NY • On-site

$55 - $59/hr

Part-time

Posted 28 days ago


Job description


The School of Public Health at SUNY Downstate Health Sciences University is seeking an hourly/part-time Adjunct Assistant Professor, Epidemiology & Biostatistics. The successful candidate will:
  • Teach assigned course in Biostatistics.
  • Use model methods of teaching including online and in-person engagement, problem-based learning, team projects, and discussion boards.
  • Manage and oversee the learning environment, instructional activities, course materials, and online grading system.
  • Provide student advisement, review program/course outcomes criteria with students; provide guidance and support student progress.
  • Evaluate students through class participation, assignments, and exams.

Qualifications
Required Qualifications
  • Doctoral Degree or Doctoral Candidate or equivalent professional degree in a discipline related to Epidemiology, Biostatistics, Statistics, or Data Science.
  • Graduate-level teaching, teaching fellow or teaching assistant experience.
  • Experience using online learning management systems.
  • Or, a satisfactory equivalent combination of experience, education and training.