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Remote Python Analyst Jobs in Boston, MA (NOW HIRING)

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Working knowledge of Python for data analysis and modeling, including common data-science libraries ...

Oncology Data Specialist

Northborough, MA ยท Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness ... Proficiency in data analysis tools and statistical software (e.g., Python, R) * Strong ...

Infrastructure Security Engineer

MA ยท Remote

$155K/yr

Remote, Contract 6+ Months Required Skills & Experience * Experience using GitHub, Terraform ... Python, AWS, and CI/CD tools * Strong understanding of IaC and AMI creation * Be able to support ...

New

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Analyze model performance and identify improvements. * Research/evaluate emerging technologies to ...

Energy Engineer

Needham, MA ยท On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... tool development using Python. * Review retro-commissioning and building tune-up project ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... tool development using Python. * Review retro-commissioning and building tune-up project ...

Senior Platform Engineer

Cambridge, MA ยท Remote

$120K - $200K/yr

Fully remote (HQ Cambridge, MA) Hours: 9-5 EST, with 2-day on-site visits every 6 weeks You'll be ... Troubleshoot issues across multiple systems (Python, JavaScript, SQL). Requirements * 5+ years in ...

A rapidly growing SaaS technology company is hiring a remote Staff Data Engineer to lead the design ... The environment leverages Python, SQL, AWS, Redshift, Glue, Lambda, S3, Airflow, and modern data ...

Showing results 41-60

Remote Python Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do remote python analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote python analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What is a remote Python analyst?

A Remote Python Analyst is a professional who works primarily with the Python programming language to analyze data, automate processes, and develop software solutions, all while working from a remote location. Their responsibilities often include data analysis, scripting, building data pipelines, and creating reports or dashboards. They collaborate with teams virtually and can work for companies in various industries such as finance, healthcare, technology, or consulting. The remote aspect allows for flexibility in work location and often requires strong communication and self-management skills.

What are the key skills and qualifications needed to thrive as a remote Python analyst?

To thrive as a Remote Python Analyst, you need strong programming skills in Python, experience with data analysis, and typically a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Jupyter Notebooks, pandas, NumPy, SQL databases, and data visualization libraries, as well as version control systems like Git, is essential. Excellent problem-solving abilities, self-motivation, and clear communication skills help you excel in a remote environment and effectively collaborate with teams. These skills and qualities enable accurate data-driven insights and ensure productivity while working independently from any location.

How does a remote Python analyst typically collaborate with team members across different time zones?

As a Remote Python Analyst, effective collaboration often involves using communication tools such as Slack, Zoom, and project management platforms to stay connected with team members in various locations. You'll likely participate in regular virtual meetings, share code through platforms like GitHub, and provide asynchronous updates to accommodate different time zones. Flexibility and proactive communication are essential for ensuring projects stay on track and that everyone is aligned, despite not working in the same physical space.

What is the difference between Remote Python Analyst vs Data Analyst?

AspectRemote Python AnalystData Analyst
Required SkillsPython programming, data analysis, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data analysis coursesExcel, SQL certifications, Tableau
Work EnvironmentRemote, tech-focused companiesRemote or on-site, various industries
Industry UsageTech, finance, healthcareBusiness, marketing, finance

Remote Python Analysts focus on coding and scripting with Python to analyze data, often in tech-driven industries. Data Analysts use a broader set of tools like Excel and SQL for data interpretation across diverse sectors. While both roles involve data analysis, the Python Analyst emphasizes programming skills, making it ideal for those with coding expertise seeking remote opportunities in specialized fields.

What are popular job titles related to Remote Python Analyst jobs in Boston, MA?

For Remote Python Analyst jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Remote Python Analyst jobs?

Cities near Boston, MA with the most Remote Python Analyst job openings:

Infographic showing various Remote Python Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

Data Science Intern

FocusKPI Inc.

Boston, MA โ€ข Remote

Other

Posted 6 days ago


Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote  |  Internship  |  Full-time  |  3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010