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Python Data Scientist Jobs in New York (NOW HIRING)

Python data science skills for data manipulation, web frameworks, visualization, and Machine Learning. * Develop and deploy imaging data collection and analysis monitoring database and build Web Apps ...

The role requires a combination of technical depth in SQL and Python, working familiarity with ... data science, computer science, economics, or related); advanced degree a plus PREFERRED ...

POSITION SUMMARY The Data Scientist, ITA will be a primary analytical contributor within a small ... The role requires a combination of technical depth in SQL and Python, working familiarity with ...

Data Scientist

Manhattan, NY · On-site

$130K - $140K/yr

Data Scientist Seeking a highly skilled and mission‐driven Data Scientist to support ... Automate data ingestion and pipelines using Python, APIs, and cloud‐native tools. Produce ...

Data Scientist

Morristown, NJ · Hybrid

$90.16K - $135.24K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... Use Python to build, maintain, and support loss models across different lines of business ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in ...

Our core and supplemental programs in ELA, math, and science engage all students in rigorous ... Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis). * Expert ...

Data Scientist

New York, NY · On-site

$60 - $62/hr

Data Scientist Duration: 6+ months contract Location: NYC- Hybrid About the Team Joining as a Data ... Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in ...

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in ...

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 ...

About the Role As our first Data Scientist, you will leverage data to drive insights and strategies ... Proficiency in programming languages such as Python or R. * Experience with data visualization ...

Secret People Centered. Data Driven Elder Research Inc. is a Data Science consulting firm ... Experience working with Python. Experience with SQL. Experience with R. AWS Experience. JavaScript ...

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 ...

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 ...

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 ...

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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 May 29, 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 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 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 data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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.

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 May 2026, with employment types broken down into 61% Full Time, 6% Part Time, and 33% Contract. Highlights an 72% In-person, 6% Hybrid, and 22% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.
Python Image Analysis programmer

Python Image Analysis programmer

Intellyk

Tarrytown, NY • Hybrid

Other

Posted 22 days ago


Job description

Role: Python Image Analysis programmer (Clinical Imaging Informatics Programmer)

Location: Tarrytown, NY (Day 1 Onsite /Hybrid)

Job description:

  • Imaging informatics programmer, familiar with imaging informatics tools and environments such as DICOM, Nifti, E2E, PACS, Flywheel etc
  • Familiarity with imaging data headers and meta data; familiarity with imaging operational reports and tracking requirements; familiarity with developing databasing and WebApps tools such as SQL, R-Shinny, DataIKU etc
  • Familiarity with Database administration, such as DB tables maintenance, optimization, indexing, creating views/stored procedures based on project requirements.
  • Python data science skills for data manipulation, web frameworks, visualization, and Machine Learning.
  • Develop and deploy imaging data collection and analysis monitoring database and build Web Apps (such as Shinny App) to allow tracking of the operation and data quality