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Python Data Scientist Jobs in New York (NOW HIRING)

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 ...

Data Scientist

New York, NY ยท 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 ...

Gen-AI Data Scientist Lead

New York, NY ยท On-site

$140K - $180K/yr

... Python), data visualization tools, and advanced analytical methods including machine learning and ... data science teams โ€ข strong problem-solving mindset with the ability to translate business ...

Data Scientist

Rahway, NJ ยท On-site

$55 - $60/hr

Solid Python, scikit-learn, and deep learning framework skills. * Experience with scikit-learn and ... Hands-on experience delivering real-world data science and machine learning solutions. * Strong ...

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 ...

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 ...

Data Scientist

New York, NY ยท 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 ...

... Python including NumPy, Pandas, and large-scale semi-structured JSON data * Bachelor's degree in Data Science or Computer Science * Experienced applying core machine learning methods including ...

... Python including NumPy, Pandas, and large-scale semi-structured JSON data * Bachelor's degree in Data Science or Computer Science * Experienced applying core machine learning methods including ...

Senior Data Scientist * Location: New York City * Type: Hybrid Position Summary Our client is ... Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine ...

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 ...

... Python (pandas, numpy). * Working knowledge in developing reports and dashboards in Power BI or ... The Data Scientist will have strong collaboration and communication skills to effectively partner ...

New

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 ...

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 ...

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 ...

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 ...

... 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 ...

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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 Jun 27, 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 does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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 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.

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 advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 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:
Infographic showing various Python Data Scientist job openings in New York as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Data Scientist

Bedrock Robotics

New York, NY โ€ข On-site

Full-time

Posted 18 days ago


Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.
The Role:
Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators.
You will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys operating in ambiguous problem spaces, working close to production systems, and delivering insights that directly influence engineering and product decisions.
What you'll do:
  • Own and execute data science work across autonomy, safety, and product, focusing on the highest-impact analytical problems
  • Analyze machine telemetry, operational data, and user workflows to surface insights that improve system performance, safety, and usability
  • Define and track key metrics that measure system behavior and product outcomes
  • Design and evaluate experiments, analyses, and validation approaches in partnership with engineering and product teams
  • Collaborate closely with ML platform and data engineering teams to ensure data is accessible, reliable, and fit for analysis
  • Communicate findings clearly to technical and non-technical stakeholders, influencing roadmap and design decisions
  • Contribute to the foundation of data science practices at Bedrock, helping shape how future work and teams scale

Required Qualifications:
  • 5+ years of experience in data science, applied analytics, or applied machine learning roles
  • Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization
  • Ability to work independently, define analytical approaches, and drive projects from concept to insight
  • Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)
  • Strong grounding in statistics, experimental design, and data analysis, with a track record of influencing decisions through data
  • Hands-on experience collaborating with data engineering and infrastructure teams on data pipelines, data quality, and scalable analysis workflows
  • Proficiency in Python and SQL, with experience using modern tooling like agentic AI
  • Bachelor's degree in Computer Science, Engineering, Statistics, or a related field (advanced degree welcome but not required)

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.