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Python Data Scientist Jobs in New York (NOW HIRING)

Public Health Solutions

Data Scientist

Queens, NY · On-site

$126K/yr

The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to ... Aid migration of complex Python applications from on-premise environments to Azure including ...

Navtech, Inc.

Data Scientist

Jersey City, NJ · On-site

... type JSONs, Python SQL, output based on JSON Documentation - Technical Writing - 5 connected ... modelling - Data scientist need 2 Best Regards Syed Imran Sr Technical Recruiter 224-296-3522 ...

Fanatics

Data Scientist

Manhattan, NY · On-site

... Scientist to support the development of analytical models and reporting. The role involves ... analyze data. • Use Python or R to automate analyses and develop reproducible analytical ...

MhyMatch

Data Scientist

New York, NY · On-site +1

Python, R * SQL and database management systems * Data visualization tools such as Tableau or Power ... D. in Data Science, Computer Science, Statistics, or a closely related field. * Certifications in ...

Forhyre

Data Scientist

New York, NY · On-site

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using ...

Florvets Structures

Data Scientist

New York, NY

... Python, R, and SQL - Experience with data visualization tools such as Tableau or Power BI ... Scientist looking to join a dynamic and growing company, we encourage you to apply for this ...

Forhyre

Data Scientist

New York, NY · On-site

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using ...

recruiterboom

Data Scientist

New York, NY

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using ...

Pwc

AIT - AI Data Scientist Manager

New York, NY · On-site

$99K - $297K/yr

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical ...

New

Point72

Data Scientist

New York, NY · On-site

Role Data Scientists bridge the gap between raw data and predictive modelling. We believe ... Programming in Python (or a comparable language) and working knowledge of SQL. * Strong analytical ...

Point72

Data Scientist

New York, NY · On-site

Role Data Scientists bridge the gap between raw data and predictive modelling. We believe ... Programming in Python (or a comparable language) and working knowledge of SQL. * Strong analytical ...

MM International

Data Scientist

New York, NY · Remote

Data Scientist Location: Remote Duration 4-6 months The RBQM Data Scientist supports central ... Python, or JavaScript and/or clinical data visualization tools/platforms.

Grubhub

Senior Staff Data Scientist

New York, NY · On-site

Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. * Demonstrated ability to take data science, ML, or causal inference ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in New York

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 Jul 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.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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 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.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

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 are popular job titles related to Python Data Scientist jobs in New York? For Python Data Scientist jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in New York look for? The top searched job categories for Python Data Scientist jobs in New York are:
What cities in New York are hiring for Python Data Scientist jobs? Cities in New York with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.
Data Scientist

Data Scientist

Public Health Solutions

Queens, NY • On-site

$126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Company Overview:
With an annual budget of $2.3 billion and more than 7,000 employees throughout the five boroughs, the New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public health agencies in the world, serving 8 million New Yorkers from diverse ethnic and cultural backgrounds. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team.

With grant funds from the Centers for Disease Control and Prevention (CDC), DOHMH is undertaking a new initiative that will meet critical infrastructure needs and make possible strategic investments that will have lasting effects on public health. Investments and improvements through this initiative will help modernize DOHMH’s foundational capabilities and data infrastructure, enabling it to partner in complex health and health care environments and, in turn, support better public health outcomes, including COVID-19. This initiative supports larger efforts to rebalance investments in public health and more equitably serve communities and populations.

The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking public health, healthcare, and social service for timely and effective public action. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected and actively used to protect and promote the health and wellbeing of New Yorkers. We aim to strengthen agency wide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A real-time and comprehensive view of city needs is needed to enhance public health actions and improve health outcomes for the most vulnerable New Yorkers.

Job Description:

DOHMH has an opening for a Data Scientist. The Data Scientist reports to the Director, Applied Data Science and Solutions and maintains software and integrations that power the Enterprise Data Platform (EDP) including the Master Patient Index, and serves as a key liaison across agency IT, EDP developers, and leadership—ensuring secure access management, best‑practice adoption, and adherence to platform standards.

Duties

  • Provide data engineering and infrastructure configuration support for complex Python applications
  • Aid migration of complex Python applications from on-premise environments to Azure including transformation of applications to cloud native architecture
  • Build and oversee automated data extraction, transfer, and load processes to support analytics databases
  • Build resources to ingest, extract, or analyze data housed in a data lake environment
  • Design, build, and document scalable hybrid technology architecture using both on-premise and cloud resources on Azure
  • Identify, explore, and help build emerging free, open source technologies
  • Design, implement, test, deploy, update, and document statistical, machine learning, and deep learning models
  • Propose and implement improvements to the DOHMH data science infrastructure and processes

Qualifications:

  • 3+ years of hands-on experience with Python version 3.x
  • 3+ years of hands-on experience with SQL databases
  • 3+ years of hands-on experience with mathematical, statistical, machine learning, or artificial intelligence models in Python
  • 2+ years of hands-on experience performing data science tasks using cloud-based technologies
  • 2+ years of experience building Python applications that leverage cloud-based technologies such as docker or Azure Container Apps or Azure App Service
  • 3+ years of Data Lake analytics platforms such as Azure Synapse or Databricks
  • Strong organization and time management skills
  • Good written and verbal communication skills
  • Ability to work independently as well as part of a team
  • Undergraduate degree or certificate in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of study
  • The ideal candidate for this position must be a pro-active and self-motivated individual with the ability to work in teams and in a highly dynamic environment with multiple stakeholders and timelines.

Additional Desired Qualities

  • 5+ years of experience performing data science tasks using cloud-based technologies
  • 5+ years of hands-on experience in Python
  • 3+ years of experience building applications in Python web frameworks such as FastAPI, Django, or Flask
  • 3+ years of experience using ETL platforms such as Azure Data Factory or Airflow
  • Graduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics,

Benefits:

  • Hybrid Work Schedule.
  • Generous Paid Time Off and Holidays.
  • An attractive and comprehensive benefits package including Medical, Dental and Vision.
  • Flexible Spending Accounts and Commuter Benefits.
  • Company Paid Life Insurance and Disability Coverage.
  • 403 (b) + employer matching and discretionary company contributions.
  • College Savings Plan.
  • Ongoing training and continuous opportunities for professional growth and development.

Additional Information:

  • This is a temporary grant-funded position ending in November 2027.
  • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date.
  • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties.
  • This individual will be expected to work non-business hours during emergencies.

At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities.

We look forward to learning more about you!

PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans.



Monday-Friday
35 Hours Per Week