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Python Data Scientist Jobs in New York, NY (NOW HIRING)

Pwc

AIT - AI Data Scientist Manager

New York, NY

$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 ...

Grubhub

Senior Staff Data Scientist

New York, NY

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 ...

Unchain Data

Data Scientist (Product)

Manhattan, NY · On-site

$100 - $250/hr

Python, SQL, DBT, Superset, Dagster, Hex, AWS, and distributed data systems for storage and ... Science, or a related field * Fluency in SQL and proficiency in Python or R * Experience with ...

Mindlance

Data Scientist

Franklin Lakes, NJ · On-site

They are seeking a Data Scientist to work on data extraction, processing, and applying machine ... Java, Python, etc. • Experience in data extraction and processing, using MapReduce, Pig, Hive ...

S27a

Data Scientist

Manhattan, NY · On-site

$120 - $180/hr

Job Summary As a Data Scientist, you will join team that solves complex business problems for ... Proficiency in Python, SQL, and analytical tools. * Experience working with large datasets and ...

GrubHub Inc.

Senior Staff Data Scientist

Manhattan, NY · On-site

$240 - $249.50/hr

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 ...

Amplify

Data Scientist

Brooklyn, NY · On-site

$100K - $132K/yr

We have become a leader in K-12 literacy, biliteracy, math, and science by building inspiring ... Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis). * Expert ...

Bedrock Robotics

Data Scientist

New York, NY · On-site

Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy ... Proficiency in Python and SQL, with experience using modern tooling like agentic AI * Bachelor ...

Mondo

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract ... Proficiency in Python or R, and SQL * Solid understanding of customer KPIs including LTV, churn ...

Hang

Data Scientist

New York, NY · On-site +1

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 ...

Applied Physics

Data Scientist

New York, NY · On-site

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

Data Scientist

New York, NY · On-site

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 ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in New York, NY

Python Data Scientist information

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$41K

$134.3K

$215K

How much do python data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for python data scientist in New York, NY 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 are popular job titles related to Python Data Scientist jobs in New York, NY?

For Python Data Scientist jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Python Data Scientist jobs in New York, NY look for?

The top searched job categories for Python Data Scientist jobs in New York, NY are:

Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

AIT - AI Data Scientist Manager

Pwc

New York, NY

$99K - $297K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics Engineering practice, focusing on transforming raw data into actionable insights that drive business growth. You will leverage advanced analytics and statistical techniques to extract insights from large datasets, enabling informed decision-making and solving complex business problems. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring your team to deliver quality results. You will be responsible for coaching and managing performance to meet client expectations, while embracing technology and innovation to improve delivery.
In this role at PwC, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will analyze and identify the interactions within complex systems, partnering with team leadership to maintain quality and timelines. Your growing business knowledge will help identify opportunities that contribute to the firm's success. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully. This position offers a chance to develop skills outside your comfort zone and encourage others to do the same, fostering a culture of continuous improvement and innovation.
Responsibilities
- Leading data science initiatives to transform raw data into actionable insights for informed decision-making
- Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
- Developing and implementing data models and algorithms to enhance predictive capabilities
- Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
- Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies
- Collaborating with stakeholders to identify opportunities for leveraging data to drive business growth
- Coaching team members to enhance their skills in data science workflows and troubleshooting
- Validating data quality and integrity within analytics frameworks to support reliable insights
- Encouraging the adoption of innovative technologies and methodologies in data science projects
- Managing project timelines and deliverables to align with client expectations and business objectives
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

- Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
- Utilizing 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 stakeholders
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Managing data pipelines and confirming data quality
- Leveraging programming languages for data engineering tasks
- Embracing change and fostering innovation in data science projects

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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