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Co Op Data Science Student Jobs (NOW HIRING)

Co-Op, Data Science

San Francisco, CA ยท On-site

$31 - $49/hr

We are seeking Co-Op candidates interested in applying data science to the ad-tech space. Join our Insights Engineering team! You will: * Use statistical and ML based techniques to reduce selection ...

We are seeking Co-Op candidates interested in applying data science to the ad-tech space. Join our Insights Engineering team! You will: * Use statistical and ML based techniques to reduce selection ...

Co-Op, Data Science

San Francisco, CA ยท On-site

$31 - $49/hr

We are seeking Co-Op candidates interested in applying data science to the ad-tech space. Join our Insights Engineering Team! You will: * Use statistical and ML based techniques to reduce selection ...

We are seeking Co-Op candidates interested in applying data science to the ad-tech space. Join our Insights Engineering Team! You will: * Use statistical and ML based techniques to reduce selection ...

LiveRamp is the leading data connectivity platform, and they are seeking Co-Op candidates interested in applying data science to the ad-tech space. In this role, you will work closely with data ...

The Co-Op role in Data Science involves applying statistical and machine learning techniques to the ad-tech space, working on mission-critical projects, and contributing to the Insights Engineering ...

Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g ... As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused ...

Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g ... As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused ...

Kettering Co-op

Lansing, MI ยท On-site

$19.50 - $25.50/hr

Students must be working toward a bachelor's degree in Computer Science, Computer Engineering, or a ... Working with large, complex data sets and developing a working knowledge of Auto-Owners data ...

Kettering Co-op

Lansing, MI ยท On-site

$19.50 - $25.50/hr

Students must be working toward a bachelor's degree in Computer Science, Computer Engineering, or a ... Working with large, complex data sets and developing a working knowledge of Auto-Owners data ...

Some of our benefits for students in the US: * Flexible and hybrid working schemes to balance study ... Data science training or experience with big data analysis and visualization. * Interest and ...

Student Co-op

Brockton, MA ยท On-site

$15.25 - $19.25/hr

Sign Design is please to offer co-op positions to qualified high school students. Students in graphic design, graphic production, visual communications or something similar are typically a good fit ...

Student Co-op

Brockton, MA ยท On-site

$15.25 - $19.25/hr

Sign Design is please to offer co-op positions to qualified high school students. Students in graphic design, graphic production, visual communications or something similar are typically a good fit ...

Student Co-op

Brockton, MA

$15.25 - $19.25/hr

Description Sign Design is please to offer co-op positions to qualified high school students. Students in graphic design, graphic production, visual communications or something similar are typically ...

Co-Op

Hinckley, OH ยท On-site

$14.75 - $19.25/hr

The co-op position entails the use of general mathematics and science courses in addition to courses specific to the student's discipline. The individual is placed on an active construction project ...

AI Analyst Co-op

O Fallon, MO ยท Hybrid

$23/hr

Collaborate with software engineers and data scientists on AI-driven features. * Document findings ... Regular and reliable attendance in the office is required. * Full time college student, pursuing a ...

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Co Op Data Science Student information

See salary details

$37.5K

$122.7K

$196.5K

How much do co op data science student jobs pay per year?

As of Jun 18, 2026, the average yearly pay for co op data science student in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What jobs can I get if I study data science?

A data science student can pursue roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on solving business problems through data-driven insights.

Can I get a data scientist job with no experience?

Entering a data science role as a co-op student typically requires some foundational skills in programming, statistics, and data analysis, but many employers offer internships or entry-level positions for candidates with limited experience. Building a portfolio with projects, gaining proficiency in tools like Python or R, and obtaining relevant certifications can improve chances of securing such roles. Entry-level data science positions often focus on learning and development, making prior experience less critical than demonstrated skills and motivation.

What types of projects or tasks can a Co Op Data Science Student expect to work on during their placement?

As a Co Op Data Science Student, you can expect to work on a variety of projects that support the data team, such as cleaning and analyzing datasets, building predictive models, and creating data visualizations to communicate findings. You may also assist in preparing reports or dashboards for business stakeholders and participate in regular team meetings to discuss project progress. Collaboration with data engineers, analysts, and business teams is common, giving you valuable exposure to real-world data workflows and cross-functional teamwork.

What are Co-Op Data Science Students?

Co-Op Data Science Students are university students who participate in cooperative education programs that combine academic coursework with hands-on work experience in the field of data science. These students work for companies or organizations as part of their degree program, applying classroom knowledge to real-world data projects under the supervision of experienced professionals. The co-op experience helps students gain practical skills, build professional networks, and better understand the day-to-day responsibilities of data scientists. Typically, these positions are temporary and align with academic terms, lasting several months at a time.

What's better, co-op or internship?

For a Co Op Data Science Student, both co-op and internships provide valuable industry experience, but co-ops typically offer longer-term, paid work integrated into academic programs, allowing students to develop skills with real-world data tools like Python and SQL. Internships are often shorter and may be more competitive but still offer networking opportunities and skill development. The choice depends on your career goals, schedule, and the depth of experience you seek.

What is the difference between Co Op Data Science Student vs Data Analyst Intern?

AspectCo Op Data Science StudentData Analyst Intern
Required CredentialsEnrolled in a related degree program, basic programming skillsEnrolled in or recent graduate of a relevant degree, some technical skills
Work EnvironmentAcademic institution or company, project-based learningCorporate or organization setting, supporting data analysis tasks
Employer & Industry UsageUniversities, tech companies, startupsBusiness, finance, healthcare, retail
Common Search & ComparisonOften searched by students exploring internships in data scienceCompared for entry-level data analysis roles

The Co Op Data Science Student typically is a student gaining practical experience during their studies, focusing on learning and supporting data science projects. In contrast, a Data Analyst Intern may have more specific data analysis responsibilities within a company. Both roles serve as entry points into the data industry but differ mainly in their focus and work environment.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

What are the key skills and qualifications needed to thrive as a Co Op Data Science Student, and why are they important?

To thrive as a Co Op Data Science Student, you need foundational knowledge in statistics, programming (especially Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL, and machine learning libraries such as scikit-learn or TensorFlow is often expected. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate with teams and translate data insights into actionable recommendations. These competencies are crucial for applying classroom learning to real-world projects and contributing meaningfully to data-driven decision-making.
More about Co Op Data Science Student jobs
What cities are hiring for Co Op Data Science Student jobs? Cities with the most Co Op Data Science Student job openings:
What are the most commonly searched types of Data Science Student jobs? The most popular types of Data Science Student jobs are:
What states have the most Co Op Data Science Student jobs? States with the most job openings for Co Op Data Science Student jobs include:
What job categories do people searching Co Op Data Science Student jobs look for? The top searched job categories for Co Op Data Science Student jobs are:
Infographic showing various Co Op Data Science Student job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Co-Op, Data Science

Co-Op, Data Science

LiveRamp

San Francisco, CA โ€ข On-site

$31 - $49/hr

Full-time

Posted 28 days ago


Job description

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility-and have a good bit of fun along the way. We're always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
Get ready for the best learning experience of your life. You will receive the same orientation training as our full-time engineers, you will be matched with an individual mentor, and you will be committing production code by the end of your first week. In the course of your internship or Co-op, you will be tasked with one or more mission-critical projects and make meaningful contributions to LiveRamp's success. Also, if our previous interns are any guides, you will have a ton of fun in the process!
Internships are 12 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your internship.
Co-ops range between 12-24 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your Co-op.
We are seeking Co-Op candidates interested in applying data science to the ad-tech space.
Join our Insights Engineering team!
You will:
  • Use statistical and ML based techniques to reduce selection bias, build representative samples, and analyze randomized studies in the ad-tech space.
  • Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets.
  • Perform R&D work by prototyping new statistical and data modeling frameworks, translating prototypes into SQL and PySpark workflows, and then drive those prototypes into production.
  • Work in multiple cloud environments such as AWS and GCP, and help build, monitor, and troubleshoot automated modeling jobs using technologies such as Spark and BigQuery.
  • Troubleshoot internal and external models by understanding the key ingredients and underlying assumptions of the models.
  • Basic familiarity with prompt engineering and a proactive willingness to adopt new AI-driven productivity tools.

About you:
  • Possess strong mathematics, statistics and computer science skills that you are ready to turn into industry-ready skills
  • Pursuing or completed a degree in a Data Science related field (e.g. Mathematics, Statistics, Computer Science, Physics or other STEM degrees)
  • Excited to learn new data science techniques and technologies
  • Willing to dive in and learn by doing
  • Ready to work with others to solve hard problems
  • Possess a startup personality: smart, ethical, friendly, hard-working and proactive
  • Excited to work with products that have close interactions with customers

Preferred Skills:
  • Strong background in probability and statistics, experience implementing statistical models in SQL, and familiarity with fundamentals of randomized control trials.
  • Experience contributing to a mature Python-centric code base.
  • Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn).
  • Experience writing SQL and working with relational databases.
  • Understanding of software engineering fundamentals such as object oriented programming, computational complexity, version controlling with git, and experience in command line interfaces such as bash.
  • Knowledge of Big Data stacks such as Hadoop and Spark
  • Experience with AWS and/or GCP cloud providers
  • Experience with Agile software development

The approximate hourly base compensation range is $31.00 to $49.00. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
More about us:
LiveRamp's mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.