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Overnight Data Scientist Machine Learning Jobs in Sutton, MA

Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

As a Staff Data Scientist, you will be a key technical leader responsible for shaping the strategy ... Advanced knowledge of machine learning algorithms, statistical modeling, experimentation ...

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies.

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines ... Collaborate with data scientists, underwriters, and engineering teams to translate business ...

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Overnight Data Scientist Machine Learning information

See Sutton, MA salary details

$48.1K

$172.5K

$254.5K

How much do overnight data scientist machine learning jobs pay per year?

As of Aug 27, 2026, the average yearly pay for overnight data scientist machine learning in Sutton, MA is $172,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,500.00 and $177,700.00 per year, depending on experience, location, and employer.

What cities near Sutton, MA are hiring for Overnight Data Scientist Machine Learning jobs?

Cities near Sutton, MA with the most Overnight Data Scientist Machine Learning job openings:

Senior Data Scientist

CarGurus

Boston, MA • On-site

Full-time

Re-posted 15 days ago


Job description

Role overview

As a member of the Data Science team with a focus on CarGurus's international products, the Senior Data Scientist, International will be responsible for implementing, training and testing machine learning models in support of CarGurus's fastest growing markets in the UK and Canada. Potential areas of support and ownership include Search Ranking, Recommendations, and Instant Market Value algorithms.

What you'll do

  • Partner with product and engineering teams in CarGurus UK and Canada to understand their product requirements and data assets
  • Implement, train, and evaluate machine learning models using Python and AWS SageMaker.
  • Develop and maintain data pipelines to supply training and inference data for models, using SQL and Snowflake.
  • Collaborate with engineers to deploy models to production
  • Evaluate performance of production-deployed models
  • Design A/B tests of the Data Science team's models and analyze their results
  • Communicate solutions to stakeholders through written documentation, demos and presentations, and data visualizations
  • Collaborate with other data scientists, machine learning engineers, and business stakeholders to scope, design, and implement machine learning projects

What you'll bring

  • Curiosity about widely varied datasets and their possibilities for unlocking customer value. Self-motivated to perform exploratory analyses and build proof-of-concept solutions.
  • Proven experience turning data into successful products
  • Knowledge of standard Machine Learning techniques for supervised and unsupervised learning across structured and unstructured datasets. Comprehensive knowledge of, and real-world experience with, measurement, evaluation, and testing of models.
  • Experience deploying and/or maintaining machine learning services in production
  • Proficiency in Python or similar languages widely used in the data science community
  • Proficiency in SQL
  • Ability to communicate technical details and analytical findings to both technical and non-technical audiences
  • Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning techniques