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Internship Python Data Science Jobs in Massachusetts

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 ...

Manages a small team of data scientists and data engineers to research, design, develop, deploy ... Strong proficiency in Python and SQL. * Experience with software development best practices ...

New

Bachelor''s or Master''s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * Proficiency in Python for data analysis and modeling. * Experience with SQL for data ...

... in data science, analytics, or machine learning • Proficiency in Python or R, with working knowledge of SQL • Familiarity with common machine learning techniques such as regression ...

... Python, C, C++, Java, or MATLAB. • Work with customers, stakeholders, and other vendors to ... D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ...

Data Scientist

Boston, MA

$120K - $135K/yr

Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics, or machine learning * Proficiency in Python or R, with working knowledge of SQL

$194K - $305K/yr

... Python highly preferred).AI/ML exposure and experience including supervised and unsupervised ... Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis ...

... interns. Knowledge and Experience Education: Minimum B. Sc. Computer Science with Statistics or ... Python, R, Stata, SQL -Frameworks: Apache Spark, Apache Airflow -Cloud services: AWS (Lambda, EC2 ...

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

The successful candidate is a seasoned leader with expertise data science and model development and ... Prior working experience with R and Python is essential; familiarity with SAS, SQL, Radar, and ...

Python Tutor

Lowell, MA · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Showing results 41-60

Internship Python Data Science information

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are the most commonly searched types of Python Data Science jobs in Massachusetts? The most popular types of Python Data Science jobs in Massachusetts are:
What are popular job titles related to Internship Python Data Science jobs in Massachusetts? For Internship Python Data Science jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Massachusetts look for? The top searched job categories for Internship Python Data Science jobs in Massachusetts are:
What cities in Massachusetts are hiring for Internship Python Data Science jobs? Cities in Massachusetts with the most Internship Python Data Science job openings:
Senior Data Scientist

Other

Posted 12 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