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Senior Python Data Science Jobs in Massachusetts

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... Python, data science libraries, model validation methods, and modern AI/ML approaches, including ...

Coordinates with senior business and technology partners to develop solutions to the most complex ... Deep expertise in Python, data-centric ML techniques including engineering principles for building ...

What you'll need to succeed as a Senior Scientist, Data Science at XPO Minimum qualifications ... Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc ...

... Senior Data Scientist, International will be responsible for implementing, training and testing ... Proficiency in Python or similar languages widely used in the data science community * Proficiency ...

The role involves building scalable data science products and performing analyses to provide ... Required : • R • Python • Clienture • ML • Databricks Company : Resource Logistics is an ...

Required : • MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a ... Python, and deploying solutions to enterprise systems • Excellent strategic thinking ...

Strong working knowledge of Python development best practices and the Python ML ecosystem (e.g ... senior leadership, and engineers). * Experience contributing to the technical direction for a team ...

Senior Python Software Engineer

Boston, MA · On-site +1

$119K - $179K/yr

The platform encompasses all data acquisition, data pipeline, and all API's. You'll be joining a ... A Bachelor's in computer engineering, computer science or other related discipline or equivalent ...

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

As the SVP Data Scientist for Personal Lines (PRS), you will: * Collaborate with business partners ... Prior working experience with R and Python is essential; familiarity with SAS, SQL, Radar, and ...

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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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Infographic showing various Senior Python Data Science job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Sr. Web Scraping Senior QA -Python - Freelance/Remote 100+ openings

Sr. Web Scraping Senior QA -Python - Freelance/Remote 100+ openings

Braintrust

Boston, MA • On-site

$132K - $177K/yr

Other

Posted 2 days ago


Job description

Open to candidates in the North America, South America, Asia and Europe.
Mindrift (Toloka) is looking for highly skilled Senior Python Data Scraping Engineers.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.


What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.


Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)
Project Details
  • Long-term project with an expected duration of at least 3–4 months, with the potential for extension based on project needs and performance.
  • Candidates should be available for a minimum of 20 hours per week. Availability of 30–40 hours per week is highly preferred.
  • This opportunity is best suited for developers looking for ongoing, meaningful project work rather than short-term or occasional tasks.
  • Work will be completed remotely and asynchronously, with access to project support and community channels.
Hiring & Onboarding Process

The process is designed to move quickly and typically includes the following steps:

  1. App review and invitation to a virtual project introduction session (approximately 30 minutes)
  2. Platform registration and identity verification
  3. Technical assessment (approximately 35 minutes)
  4. Background check (completed at no cost to candidates)
  5. Onboarding and project-specific training tasks
  6. Begin production work!
Additional Requirements
  • Willingness to complete identity verification as part of the onboarding process.
  • Ability to complete a technical assessment.
  • Willingness to join and participate in Discord, which will be used for project communication and updates.
  • Successful completion of a background check is required prior to onboarding.
  • Reliable internet connection and ability to communicate effectively in a remote environment.
What Makes This Opportunity Unique
  • Opportunity to contribute to cutting-edge AI initiatives alongside a large global network of technical experts.
  • Potential for significant weekly engagement for candidates with strong availability.
  • Structured onboarding process with dedicated support and project guidance.
  • Opportunity to participate in a project expected to scale substantially over the coming months.