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Senior Python Data Science Jobs in New York (NOW HIRING)

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Under the guidance of our Senior Data Scientists and Senior Data Science Analysts, you will have ... Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

Magazine. Backed by an executive team of former founders and senior leaders from companies ... Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ...

As a Senior Expert Data Science within the Data and Statistical Sciences team, you will partner ... Proficiency with either Python or R. * Knowledge of regression, hypothesis testing, experimental ...

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Role: Sr Python Developer Position : Contract / Full Time Exp: 10+ years only Accepts H1B transfers ... A degree in Computer Science or an equivalent engineering foundation. * 5+ years of building and ...

... Senior Director of Data Science. You'll support a wide range of projects, partnering with the ... Own the SQL/Python data pulls, cleaning, and analysis pipelines behind the team's causal and LTV ...

Python Developer

Jersey City, NJ · On-site

$55 - $75.75/hr

Role: Sr Python Developer Position : Contract / Full Time Accepts H1B transfers Location: Jersey ... A degree in Computer Science or an equivalent engineering foundation. * 5+ years of building and ...

Showing results 41-60

Senior Python Data Science information

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

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Senior Data Science and Machine Learning Engineer

New York, NY • Remote

1 point system
IT Services • 51 - 200 employees

Contractor

Re-posted 8 hours ago


Job description

Job Summary:

  • We are seeking a Senior Data Science Engineer to design, build, and scale data-driven systems that power advanced analytics and machine learning across our organization. This role sits at the intersection of software engineering and data science; you’ll be responsible for building robust data pipelines, enabling experimentation, and deploying production-ready machine learning models.
  • As a senior team member, you will mentor junior engineers and data scientists, influence architectural decisions, and help shape the long-term AI and data strategy.

Key Responsibilities:

  • Develop, deploy, and maintain machine learning models in production environments.
  • Collaborate with data scientists, analysts, and product managers to define and deliver data-driven features.
  • Ensure high-quality data through monitoring, validation, and robust testing frameworks.
  • Architect and maintain data platforms and tools for experimentation, model serving, and feature engineering.
  • Explore and integrate Large Language Models (LLMs) and other generative AI approaches into business applications and data workflows.
  • Contribute to code reviews, technical design discussions, and best practices for the team.
  • Mentor and guide junior engineers/data scientists, fostering technical excellence and career growth.
  • Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops.

Education Requirement:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Master’s degree or PhD is a strong plus.

Experience:

  • 5+ years of experience in data engineering, machine learning engineering, or related roles.
  • Strong proficiency in Python (Pandas, NumPy, PySpark, or similar).
  • Solid understanding of ML model development, training, and deployment pipelines.
  • Experience with ML model monitoring and observability frameworks.
  • Experience with deep learning frameworks(TensorFlow, PyTorch).
  • Familiarity with CI/CD, version control (Git),and modern ML Ops practices.