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Scientist Python Jobs in Princeton, NJ (NOW HIRING)

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

Lead Python Developer, New York

New York, NY · On-site

$153K - $188K/yr

The Role Lab49 is seeking a skilled Python Developer to work on complex and challenging projects ... Bachelor's or Master's degree in Computer Science, Engineering, Physics, Math, or equivalent work ...

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 ...

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

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 ...

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

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 ...

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 ...

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Scientist Python information

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$39.3K

$128.7K

$206K

How much do scientist python jobs pay per year?

As of Jun 12, 2026, the average yearly pay for scientist python in Princeton, NJ is $128,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $142,600.00 per year, depending on experience, location, and employer.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Skilled proficiency in data analysis, machine learning, and relevant tools like Pandas and TensorFlow can influence earning potential.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

Are Python coders still in demand?

Python programmers, including those in scientific roles, are currently in high demand across industries such as data analysis, machine learning, and automation. Proficiency in libraries like NumPy, Pandas, and frameworks like TensorFlow enhances job prospects, and demand is expected to remain strong due to Python's versatility and widespread use in technology and research environments.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

Is Python a high paying job?

A Python developer or scientist role is generally considered well-paying within the tech industry, especially for those with strong programming skills, experience, and knowledge of data analysis or machine learning. Salaries vary based on location, experience, and industry, but Python-related roles tend to offer competitive compensation compared to many other programming jobs.

What is the highest salary in Python?

For a Python scientist or developer, the highest salaries are typically found in senior roles, specialized fields like machine learning or data engineering, and in high-cost living areas. Experienced professionals with advanced skills and certifications can earn over $150,000 annually, with some top-tier positions reaching $200,000 or more.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Princeton, NJ? For Scientist Python jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Princeton, NJ look for? The top searched job categories for Scientist Python jobs in Princeton, NJ are:
What cities near Princeton, NJ are hiring for Scientist Python jobs? Cities near Princeton, NJ with the most Scientist Python job openings:

AI/ML Data Scientist

Marencor

New York, NY • On-site

Contractor

Posted 8 days ago


Job description

 AI/ML Data Scientist

 Location: New York, NY

Role Summary:

Develop and evaluate machine learning and GenAI models to drive clinical, operational, or financial insights from healthcare data.

 

Responsibilities:

  • Train supervised and unsupervised models using Python (XGBoost, LightGBM, sklearn, PyTorch)
  • Conduct data profiling, feature engineering, model evaluation using stratified validation
  • Implement model explainability (SHAP, LIME) and bias audits
  • Monitor model drift, fairness, and clinical relevance over time
  • Fine-tune or prompt LLMs for use cases such as summarization or information extraction
  • Build and evaluate multi-agent workflows using GenAI and frameworks like LangChain
  • Design prompt libraries and benchmark hallucination rates, sensitivity to input phrasing
  • Track experiments using MLflow, Weights & Biases

 

Required Qualifications:

  • 3–5 years in applied data science or machine learning
  • Experience with Snowflake SQL, Python ML ecosystem, healthcare data

 

Preferred Qualifications:

  • Exposure to Epic Clarity data or unstructured clinical notes
  • Hands-on with transformer models, LLM APIs, and embedding-based retrieval