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Python Data Scientist Jobs in New York (NOW HIRING)

* Data Scientist * Hybrid, NY * Up to $125k base + 7-10% bonus Responsibilities: * Collaborate with ... Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine ...

... 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 ...

... Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data. 3. Analyze And Mine Large Datasets To ...

Minimum of 5 years' experience of coding in Python, R / R Shiny leveraging data science libraries Strong experience in building supervised and unsupervised machine learning methods and deploying them ...

Overview: - Data Scientist (Contract-Based) Johnson & Johnson is currently seeking a Data Scientist ... Python and other programming languages Preferred: Experience in multi-functional projects and ...

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 ...

Data Scientist

New York, NY · On-site

$87.50K - $190K/yr

Required tech: Python, R, Machine Learning, Big Query, SQL, etc. What impact you can create at CHANEL: * Own and execute the data science roadmap for CHANEL US, aligned with digital transformation ...

Data Scientist

New York, NY · On-site

$140K - $155K/yr

Data Scientist Overview The Data Management, Engineering and Analytics team at David Yurman (DY) is ... Python), and/or statistical/mathematical software (e.g. R). * 3-5 years' experience with ...

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 ...

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 ...

Data Scientist

New York, NY · Hybrid

$140K - $155K/yr

Data Scientist Overview The Data Management, Engineering and Analytics team at David Yurman (DY) is ... Python), and/or statistical/mathematical software (e.g. R). * 3-5 years' experience with ...

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 ...

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

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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.

Data Scientist.

Guru Schools

New York, NY • On-site

Full-time

Posted 7 days ago


Job description

Overview:
Position: Data Scientist.
Role: C2C.
Location: Charlotte, NC (Hybrid).
Note: We're seeking state local candidate only.
Job Requirements:
We are looking for a highly skilled Graph Data Scientist to design and develop graph-based analytical solutions leveraging Neo4j/TigerGraph and advanced data science techniques. The role will focus on building knowledge graphs, detecting complex patterns, and enabling AI-driven insights.
Key Responsibilities
  • Design and develop graph data models using Neo4j/TigerGraph
  • Build and manage knowledge graphs for enterprise use cases (fraud detection, relationship mapping, pattern discovery)
  • Apply data science and ML techniques to extract insights from graph data
  • Develop graph algorithms (pathfinding, centrality, clustering, anomaly detection)
  • Integrate graph platforms with Gen AI/LLM-based systems for intelligent decision-making
  • Collaborate with engineering and AI teams to embed graph insights into applications

Required Skills
  • Strong experience in Neo4j, TigerGraph, or similar graph databases
  • Solid background in data science (Python, Pandas, Scikit-learn, PyTorch/TensorFlow)
  • Experience in graph algorithms and network analysis
  • Hands-on with data modeling, ETL, and large-scale data processing
  • Understanding of Gen AI / LLM integration with structured data systems

Skills:
Python,Tensile Testing