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Food Science Intern Remote Jobs in Natick, MA (NOW HIRING)

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

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 ...

New

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

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 ...

New

DataRobot

Agentic AI Intern

Boston, MA · Remote

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

COMPASS Pathways

HEOR Science Liaison

Boston, MA · On-site +1

Food and Drug Administration (FDA), as well as Innovative Licensing and Access Pathway (ILAP ... Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ...

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How much do food science intern remote jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for food science intern remote in Natick, MA is $17.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.86 per hour, depending on experience, location, and employer.

What does a food science intern do in a remote position?

A Food Science Intern working remotely assists food scientists and quality assurance teams with research, product development, and data analysis from a virtual setting. Typical tasks may include reviewing scientific literature, helping design experiments, compiling data, and participating in virtual meetings. Interns may also support sensory evaluations, regulatory compliance, and documentation projects using digital tools. Remote food science internships provide valuable industry experience while allowing for flexibility and independent work.

What types of projects or tasks can a food science intern expect to work on in a remote setting?

As a remote Food Science Intern, you'll likely be involved in data analysis, literature reviews, virtual team meetings, and supporting ongoing research projects. Tasks may include compiling regulatory information, assisting with product formulation documentation, and preparing reports or presentations. Collaboration with R&D, quality assurance, and marketing teams is common, often via video calls and shared digital platforms. This setup provides a chance to develop strong communication skills and gain insight into cross-functional teamwork within the food industry.

What are the key skills and qualifications needed to thrive as a food science intern remote, and why are they important?

To thrive as a Food Science Intern (Remote), you need a solid background in food science, chemistry, or a related field, often demonstrated by enrollment in a relevant degree program. Familiarity with data analysis tools such as Excel or statistical software, as well as experience with laboratory information management systems (LIMS), is commonly required. Strong organizational skills, attention to detail, and effective written communication help interns excel in remote collaboration and reporting. These skills are essential for accurately supporting research, ensuring data integrity, and contributing to team projects from a distance.

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For Food Science Intern Remote jobs in Natick, MA, the most frequently searched job titles are:

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Food Science Intern Remote jobs near you

Data Science Intern

FocusKPI Inc.

Boston, MA • On-site, Remote

Full-time, Internship

Posted 3 days ago

New

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.
FocusKPI logo

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

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