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Entry Level Python Data Science Jobs in New York City, NY

T Rowe Price

AI Data Scientist

Manhattan, NY · Hybrid

Advanced Python skills for data science (pandas, scikit-learn); experience with PySpark. * Hands-on experience with Databricks (Delta Lake, MLflow, Jobs/Workflows) or equivalent Spark platforms, with ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Analytical & Data Science Expertise * Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn) * Experience with A/B testing, causal ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Analytical & Data Science Expertise * Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn) * Experience with A/B testing, causal ...

Varsity Tutors

Python Tutor

Yonkers, NY · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Paterson, NJ · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Westfield, NJ · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Hempstead, NY · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Clifton, NJ · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Glen Cove, NY · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Stamford, CT · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Jersey City, NJ · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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All JobsPython Data Science JobsEntry Level Python Data Science JobsEntry Level Python Data Science Jobs in New York City, NY

Entry Level Python Data Science information

See New York City, NY salary details

$14

$64

$94

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

As of Aug 19, 2026, the average hourly pay for entry level python data science in New York City, NY is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

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

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in New York City, NY?

The most popular types of Python Data Science jobs in New York City, NY are:

What are popular job titles related to Entry Level Python Data Science jobs in New York City, NY?

For Entry Level Python Data Science jobs in New York City, NY, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in New York City, NY look for?

The top searched job categories for Entry Level Python Data Science jobs in New York City, NY are:

What cities near New York City, NY are hiring for Entry Level Python Data Science jobs?

Cities near New York City, NY with the most Entry Level Python Data Science job openings:

Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in New York City, NY as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

AI Data Scientist

T Rowe Price

Manhattan, NY • Hybrid

Full-time

Re-posted 19 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

About This Position

Are you a collaborative problem solver who thrives on asking insightful questions and working across disciplines? At T. Rowe Price, our Data Scientists develop the analytics and AI solutions that drive better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management. If you enjoy hands-on work and tackling challenging problems with technology, we want to connect with you.

Role Summary

This is a hands-on role covering the entire data science workflow, from discovery through production deployment. You'll creatively apply modern AI and data science techniques on Databricks, working closely with business partners. As part of T. Rowe Labs, you'll help build our next-generation data and AI platform, delivering on-demand, ML-powered insights across the firm.

Responsibilities

  • Engage in all phases of the data science lifecycle: problem framing, exploratory data analysis, feature engineering, modeling, evaluation, deployment, and monitoring, with guidance from senior team members.
  • Develop robust Python notebooks, jobs, and pipelines (using pandas, scikit-learn, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).
  • Implement testing and quality checks, including unit tests, data validation, and drift/bias monitoring; maintain reproducible experiments and clear documentation.
  • Participate in code and design reviews, use git and CI/CD, and manage technical debt.
  • Clarify requirements, propose iterative solutions, and communicate findings to both technical and non-technical stakeholders.
  • Collaborate with platform and governance teams to ensure security, lineage, and auditability.

Qualifications

Required:

  • BS/MS in a quantitative field or equivalent experience; 2+ years in data science or machine learning.
  • Solid understanding of experimental design, model validation, metrics, and foundational MLOps concepts.
  • Strong collaboration and communication skills, with a question-first approach; comfortable partnering directly with business stakeholders.
  • Familiarity with AWS basics and git/CI workflows.

Preferred:

  • Experience with AI/Generative AI (LLMs, RAG, prompt engineering/evaluation).
  • Advanced Python skills for data science (pandas, scikit-learn); experience with PySpark.
  • Hands-on experience with Databricks (Delta Lake, MLflow, Jobs/Workflows) or equivalent Spark platforms, with a desire to expand expertise.
  • Knowledge of time-series analysis or NLP; experience with BI/analytics tools (Databricks SQL, Tableau/Power BI, dbt).
  • Familiarity with financial markets and instruments.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.

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