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Senior Python Data Science Jobs in Greenwich, CT

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 ...

About the Role This is a senior leadership role on the Global Product Management Data Science team ... Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ...

About the Role This is a senior leadership role on the Global Product Management Data Science team ... Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ...

About the Role This is a senior leadership role on the Global Product Management Data Science team ... Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ...

Senior Data Scientist Location: New York City, Los Angeles, San Francisco Overview We are seeking a ... Science and ML Engineering. Deep experience developing as a team in Python Deep experience ...

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

We're hiring a Senior Manager, Data Science to join our Data Team. Oscar is the first health ... and/or Python to query, manipulate and analyze data * 4+ years experience building data models ...

Overall 10+ years of experience with data science, credit risk management experience is a definite plus * 2-4 years of credit risk modeling experience * 2+ years of experience with Python programming

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Showing results 1-20

Senior Python Data Science information

See Greenwich, CT salary details

$61.8K

$159.4K

$219K

How much do senior python data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior python data science in Greenwich, CT is $159,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,400.00 and $183,600.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Senior Python Data Science jobs in Greenwich, CT? For Senior Python Data Science jobs in Greenwich, CT, the most frequently searched job titles are:
What cities near Greenwich, CT are hiring for Senior Python Data Science jobs? Cities near Greenwich, CT with the most Senior Python Data Science job openings:
Infographic showing various Senior Python Data Science job openings in Greenwich, CT as of May 2026, with employment types broken down into 2% As Needed, 60% Full Time, 30% Part Time, 2% Temporary, and 6% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $159,442 per year, or $76.7 per hour.

Other

Posted 4 days ago


Success Academy rating

4.9

Company rating: 4.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

501st of 545 rated elementary and secondary schools


Job description

We are seeking a visionary and technically grounded Senior Data Scientist, Enterprise Data & Analytics to lead the development, improvement, and long-term sustainability of our data science models. In this role, you will bridge technical execution and strategic vision, translating complex educational and operational challenges into robust predictive architectures. Beyond building models, you will serve as a foundational mentor, championing technical best practices, elevating the team's capabilities, and fostering a culture of continuous learning and data science excellence. Key

Responsibilities:

  • Model Development & Innovation: Design, develop, and deploy end-to-end machine learning and statistical models to address critical institutional challenges (e.g., student performance trajectories, resource allocation, and operational efficiency).

  • Sustainment & Optimization: Audit, monitor, and continuously improve existing production models, ensuring their accuracy, reliability, and long-term scalability.

  • Technical Mentorship: Act as a primary mentor to data analysts and engineers, conducting code reviews, organizing internal knowledge-sharing sessions, and disseminating current data science methodologies across the team.

  • Data Strategy & Querying: Architect efficient data extraction workflows and construct complex, scalable queries to manipulate large datasets for feature engineering and analysis.

  • Collaboration: Work alongside data engineers and product owners to establish clean data pipelines and translate model outputs into actionable dashboards or software features.

What We Are Looking For (Requirements)

  • Experience: 5+ years of professional experience in data science, predictive modeling, or advanced analytics, with a proven track record of bringing machine learning models into production environments.

  • Expert Python Proficiency: Deep expertise in Python and its core data science ecosystem (including pandas, NumPy, scikit-learn, and related framework libraries) for building robust, clean, and reusable code.

  • Advanced SQL Skills: Exceptional ability to write, optimize, and debug complex SQL queries against large relational databases or modern cloud data warehouses.

  • Core Data Science Fundamentals: Strong command of statistical modeling, regression techniques, classification algorithms, and experimental design (A/B testing).

  • Mentorship Mindset: Prior experience or a strong demonstrated desire to guide, mentor, and upskill junior team members while establishing technical standards.

Nice to Haves (Preferred Qualifications)

  • Statistical Programming in R: Familiarity with R for exploratory data analysis, prototyping, or specific statistical packages.

  • Cloud & MLOps Tools: Exposure to cloud data infrastructure (such as AWS, GCP, or Snowflake) and basic ML orchestration/versioning tools (e.g., MLflow, Airflow, Git).

  • Domain Context: Prior experience working within education, non-profits, or public sector datasets, though a diverse background across other industries is highly valued. 


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