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Python Data Scientist Jobs in New York (NOW HIRING)

Data Scientist

New York, NY ยท On-site

$150K - $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 ...

... Python programming, and Power BI. You'll play a key role in transforming raw data into actionable ... Bachelor's degree in data science, Engineering, Computer Science, Information Technology ...

Data Scientist

New York, NY ยท On-site

$130K - $150K/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 ...

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 ...

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

Data Scientist

New York, NY ยท Hybrid

$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

Python / SQL-based modeling frameworks * ML/AI and LLM-enabled analytics (including RAG ... Provide technical leadership and mentorship to data scientists and analysts. * Integrate Snowflake ...

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

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

Data Scientist

New York, NY ยท Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Python, R, Scala) * Experience working with large datasets, data pipelines, and relational ...

Data Scientist

New York, NY ยท On-site

$200K/yr

Proficiency in Python and experience with common data science and ML libraries (e.g., pandas, NumPy, scikit-learn or similar). * Experience working with a variety of machine learning techniques ...

About the RoleCanon USA in Melville, NY is currently seeking a Data Scientist, a developing ... Python, R, SQL, Machine learning frameworks (TensorFlow, Scikit-learn), Use big data technologies ...

About the RoleCanon USA in Melville, NY is currently seeking a Data Scientist, a developing ... Python, R, SQL, Machine learning frameworks (TensorFlow, Scikit-learn), Use big data technologies ...

About the RoleCanon USA in Melville, NY is currently seeking a Data Scientist, a developing ... Python, R, SQL, Machine learning frameworks (TensorFlow, Scikit-learn), Use big data technologies ...

Proficiency in programming languages such as Python, R, SQL, and Node.js. * Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such as NumPy, Pandas ...

Data Scientist

New York, NY ยท On-site +1

Proficiency in programming languages such as Python, R, SQL, and Node.js. * Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such as NumPy, Pandas ...

AI/ML Data Scientist Location: New York, NY Role Summary: Develop and evaluate machine learning and ... Train supervised and unsupervised models using Python ( XGBoost, LightGBM, sklearn, PyTorch

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Showing results 1-20

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 13, 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 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 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

Partiful

New York, NY โ€ข On-site

$150K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Partiful's mission is to cultivate friendships through social events.
We believe events are the most effective way to meet new people and make friends. Our product helps you throw incredible events, starting with memorable party pages that make it easy to plan & communicate with guests - download the app to see how it works!
We're building new ways to streamline planning, connect meaningfully in the real world, and make connections between friends-of-friends. Our ultimate vision is to power everything you do in-person with your friends, eliminating the friction of bringing your most memorable experiences to life. You can read more about our mission in The Washington Post, The New York Times, The Wall Street Journal, The Atlantic, Wirecutter, and USA Today. Partiful was named Google's Best App of 2024, a Finalist for Apple's App Store Awards, and Apple's App of the Day (awarded 4x). In 2025, we were named one of TIME's 100 Most Influential Companies, one of Fast Company's Most Innovative Companies, and named to Inc. Magazine's Best in Business List.
Our company is backed by top-tier investors including Andreessen Horowitz and Google Ventures, and advised by the founders of some of the most successful consumer social products ever made.
The Role
We're looking for a business-oriented data scientist to help us unlock the full value of our data, supercharge our growth, and guide our product roadmap. You'll work closely with leadership, product, and marketing to analyze key initiatives, define meaningful metrics, guide product decisions with insights, and empower the team to use data confidently. This role sits at the intersection of product analytics, decision science and data governance - providing insights critical to our trajectory, and building systems and culture that make data more accessible and actionable for everyone.
We're an NY- based team with a hybrid in-person model, in the office 3 days a week. Our data stack is Amplitude, Hex (SQL, Python), BiqQuery, DBT, and Javascript (not required).
What you'll do:
  • Make key data decisions across the company
  • Analyze large and complex datasets to derive actionable insights
  • Monitor performance trends and conduct diagnostic analyses
  • Collaborate closely the product team identify key benchmarks for new features, and analyze the performance of all aspects of the product
  • Provide data-driven recommendations and run experiments to support product development, user engagement strategies, and business growth
  • Own the data dictionary and support a culture of data literacy across teams
  • Build, improve and maintain data pipelines & the overall data foundation
  • Maintain the Amplitude taxonomy and ensure it's reliable, documented, and intuitive
  • Identify and execute on opportunities to improve our data infrastructure, processes, and tooling
  • Provide regular updates and insights to help the company stay informed on progress towards our goals
What you'll bring:
  • A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
  • 3-5 years of experience in data science or a related role
  • 2 years of experience in a high growth startup; experience in consumer is preferred but not required
  • Fluency in SQL and Python (Javascript a plus)
  • Familiarity with data tools such as Amplitude, DBT and Hex
  • Experience designing and analyzing A/B tests, with a solid understanding of statistical methods
  • High aptitude for using data to drive business decisions; care about not just what the numbers say, but how we use them to make better decisions
  • Excellent communication skills, and ability to convey complex data findings in a clear and concise manner to non-technical stakeholders
  • Extreme comfort with ambiguity, and a pattern of taking initiative, working independently, and thriving in fast-moving environments
What we offer:
  • 401(k) with up to 6% matching
  • Comprehensive health, dental, and vision insurance for you and all your dependents (FSAs and HSA plans available)
  • Free OneMedical membership, telehealth, and virtual mental health services
  • Commuter benefits & contributions towards ClassPass and Citibike memberships
  • Unlimited vacation (minimum 3 weeks required)
  • Quarterly stipend to plan your own party and dogfood the product
  • Semi-annual travel benefit & semiannual team off-sites
  • Get invited to exclusive parties

In your application, please include a note on what's got you excited about Partiful! The compensation range for this role is $150,000-$190,000 depending on years of experience.
We're an equal-opportunity employer and strongly encourage applicants from traditionally underrepresented backgrounds to apply. We're proud to be a diverse team, and actively work to bring new perspectives to the table.