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Internship Data Optimization Jobs in Boston, MA (NOW HIRING)

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Internship Data Optimization information

See Boston, MA salary details

$13

$24

$45

How much do internship data optimization jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for internship data optimization in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Data Optimization professional, you need a solid understanding of data analysis, statistics, and basic programming skills, often supported by coursework or a degree in a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms is typically required. Strong attention to detail, problem-solving abilities, and effective communication are key soft skills that distinguish top candidates. These skills are essential for accurately analyzing data sets, identifying optimization opportunities, and clearly presenting actionable insights to stakeholders.

What is the difference between Internship Data Optimization vs Data Analyst?

AspectInternship Data OptimizationData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's or higher in related field, technical proficiency
Work EnvironmentInternship setting, entry-level tasks, mentorshipFull-time, project-based, collaborative teams
Employer & Industry UsageInternship programs in tech, finance, marketingAcross industries, including tech, finance, healthcare
Search & Comparison IntentEntry-level, internship opportunities, learning rolesData analysis roles, career advancement

Internship Data Optimization focuses on entry-level, temporary roles aimed at learning data enhancement techniques, while Data Analysts are full-time professionals responsible for analyzing and interpreting data to support business decisions. Both roles require technical skills, but the internship is more educational and less specialized.

What types of projects and tasks can I expect to work on during a Data Optimization internship?

As a Data Optimization intern, you will likely support projects involving data cleaning, analysis, and process improvement. Typical daily tasks may include preparing datasets, running statistical analyses, developing or optimizing algorithms, and visualizing results to help teams make data-driven decisions. You may also collaborate with data scientists and engineers to identify inefficiencies in data pipelines and propose solutions. This role offers valuable exposure to real-world business challenges, and interns often gain hands-on experience with popular data tools and programming languages, laying a solid foundation for future roles in data analytics or engineering.

What is an Internship in Data Optimization?

An Internship in Data Optimization is a temporary position for students or recent graduates to gain practical experience in improving the efficiency and effectiveness of data processes within an organization. Interns typically work with data analysts and engineers to clean, organize, and analyze data, as well as implement optimization techniques to enhance data quality and performance. This role offers hands-on exposure to tools and technologies related to data management and analytics, making it an excellent opportunity to build foundational skills for a career in data science or analytics.
What are the most commonly searched types of Data Optimization jobs in Boston, MA? The most popular types of Data Optimization jobs in Boston, MA are:
What are popular job titles related to Internship Data Optimization jobs in Boston, MA? For Internship Data Optimization jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Internship Data Optimization jobs in Boston, MA look for? The top searched job categories for Internship Data Optimization jobs in Boston, MA are:
Infographic showing various Internship Data Optimization job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.
Internship - Decentralized Data Assimilation for Large Scale Systems

Internship - Decentralized Data Assimilation for Large Scale Systems

Mitsubishi Electric Research Laboratories

Cambridge, MA โ€ข On-site

Other

Medical

Posted 14 days ago


Job description

MERL is seeking a highly motivated and qualified intern to conduct research on decentralized data assimilation for multi-physical and multi-component systems governed by large-scale nonlinear differential-algebraic equations (DAEs). The research will focus on the study, development, and efficient implementation of data assimilation algorithms for such complex systems. The ideal candidate will have a strong background in one or more of the following areas: nonlinear estimation and control, Bayesian methods, machine learning, graph theory, and optimization, with demonstrated expertise through peer-reviewed publications or equivalent experience. Proficiency in Julia or Python programming is required. Senior Ph.D. students in mechanical, electrical, chemical engineering, or related fields are encouraged to apply. The internship is typically 3 months in duration, with a flexible start date.

The pay range for this internship position will be 6-8K per month.


Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.