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Python Data Scientist Jobs in New York (NOW HIRING)

At T. Rowe Price, our Data Scientists develop the analytics and AI solutions that drive better ... Develop robust Python notebooks, jobs, and pipelines (using pandas, scikit-learn, PySpark) on ...

Data Scientist

Manhattan, NY · On-site

$114K - $129K/yr

Senior Data Scientist (Predictive Modeling & Analytics) Role Overview We are seeking a Senior Data ... Expert-level proficiency in SQL and Python; strong applied experience in advanced statistics and ...

Senior Data Scientist

Manhattan, NY · On-site

$181K - $211K/yr

Senior Data Scientist, IBM Corporation, New York, NY (Up to 40% telecommuting permitted): * Design ... Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning ...

Our global Data Science team operates across the US, Poland, UK and India, and plays a central role ... Python), data visualization tools, and advanced analytical methods including machine learning and ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

As the Data Scientist for Strategic Finance, you will act as the crucial link between our financial ... Python-based automation, internal app frameworks (Streamlit), BI/reporting tools, workflow ...

As the Data Scientist for Strategic Finance, you will act as the crucial link between our financial ... Proficiency in programming languages such as Python or R for data analysis and model development.

Company Description First IT Solutions Experience in R, Python, creating data models using advanced ... Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related ...

Company Description First IT Solutions Experience in R, Python, creating data models using advanced ... Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related ...

Senior Data Scientist

New York, NY · On-site

$181K - $211K/yr

Python (Pandas, NumPy, Scikit-learn), IBM watsonx Suite, SQL, Data Pipeline Tools, Machine Learning ... Master's degree or equivalent in Computer Science, Data Science, Statistics, Mathematics ...

Data Scientist

New York, NY · On-site

$140K - $160K/yr

Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ... You're analytically strong (comfortable with SQL or Python) but your instinct is to ask "what are ...

Data Scientist

Manhattan, NY · On-site

$190K - $220K/yr

Fluent programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.). * Deep fluency and instincts for data manipulation, treatment ...

Strong hands-on capability with data science tools (e.g., Python, SQL, notebooks, visualization tools) and comfort working endtoend from raw data to insight. * Deep analytical instincts -you are ...

Data Scientist

Manhattan, NY · On-site

$160K - $185K/yr

As Data Scientist at Findigs, you will strengthen our data science and applied machine learning ... Strong Python skills (pandas, scikit‑learn, statsmodels or equivalent); this is a coding role

Our full-stack Data Science Team uses Python for research and development. Our wide range of experience includes NLP, SpaCy, Transformers, and PyTorch recommendation systems, supervised and ...

Data Scientist

New York, NY · On-site

$165K - $190K/yr

Our data stack is Amplitude, Hex (SQL, Python), BiqQuery, DBT, and Javascript (not required). What ... A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a ...

The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data ... Proficient in Python/R, APIs, Excel, LLMs, SQL, and Power Automate. * Exposure to Spark/PySpark ...

About the Role We are looking for a Data Scientist to drive informed decision-making across the ... Strong skills using Python to write scripts and run statistical analysis * Hands-on experience with ...

The Opportunity As a Data Scientist, you will support the development of analytical models that ... Proficient with programming in Python * Proficient in writing SQL queries to extract, transform ...

Showing results 41-60

Python Data Scientist information

See New York salary details

$41K

$134.3K

$215K

How much do python data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python data scientist 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 a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What cities in New York are hiring for Python Data Scientist jobs?

Cities in New York with the most Python Data Scientist job openings:

Infographic showing various Python Data Scientist job openings in New York as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

AI Data Scientist

Manhattan, NY • Hybrid

T Rowe Price
Funds, Trusts and Financial Programs • 5 - 10K employees

Full-time

Re-posted 11 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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