Data Scientist Marketing Analytics Co Op

Data Scientist (Marketing Analytics) Co-Op at Risepoint — Research Report

Introduction

The Data Scientist (Marketing Analytics) Co-Op at Risepoint is a high-impact remote internship designed for students ready to bridge data science and marketing strategy. This role offers a unique opportunity to work with real campaign data, build predictive models, and directly influence how brands optimize their digital performance during the upcoming season .

Securing a Risepoint internship in marketing analytics provides career acceleration through exposure to enterprise-level tools, AI-driven workflows, and a culture that values curiosity over perfection. Candidates gain tangible portfolio pieces and a potential pathway to full-time employment in the rapidly growing edtech and performance marketing sector .

Overview of Risepoint

Risepoint is a leading performance marketing and education technology company that connects students with higher education programs through data-driven affiliate strategies. The company operates as a powerhouse in the edtech space, specializing in CPL (cost-per-lead), CPC (cost-per-click), and fee-for-service models for universities and training providers .

With approximately 905 employees worldwide as of December 2025, Risepoint ranks as the 9th-largest by headcount among its peers and is experiencing accelerating hiring growth, with active job postings rising 50.8% in 2025 . The company’s niche lies in its ability to leverage AI tools like Claude and ChatGPT for workflow automation while managing complex vendor and agency partnerships .

Risepoint’s culture emphasizes initiative and curiosity, prioritizing candidates who demonstrate strong project management and communication abilities over those with perfect academic records. Employees value the remote-friendly environment, the chance to work on high-stakes marketing campaigns, and the company’s reputation as a trusted partner for corporate entities supporting higher education .

Role Overview

As a Data Scientist (Marketing Analytics) Co-Op, you will analyze marketing campaign performance, build statistical models to predict lead quality, and create dashboards that guide strategic decisions for university partners. Your work directly impacts how Risepoint allocates budget across channels and optimizes conversion rates for its clients .

The intern’s impact extends beyond reporting; you will help identify inefficiencies in vendor performance, recommend AI-driven automation opportunities, and contribute to the company’s data infrastructure that supports over 74 active job postings and growing operational scale .

Detailed Responsibilities

Key tasks for this co-op include:

• Analyzing affiliate and performance media campaign data to measure CPL, CPC, and conversion metrics
• Building predictive models to forecast lead quality and student enrollment likelihood
• Creating automated dashboards in tools like Salesforce or comparable CRMs for lead management and reporting
• Collaborating with marketing teams to optimize channel performance and vendor accountability
• Testing AI tools (Claude, ChatGPT) for workflow automation and data processing efficiency

Day-to-Day Workflow

Your typical day starts with reviewing campaign performance dashboards to identify anomalies or opportunities for optimization. You will then dive into data exploration using SQL or Python, cleaning datasets and running statistical tests to validate hypotheses about channel effectiveness .

Midday often involves cross-functional meetings with marketing managers or agency partners to discuss findings and align on next steps. Afternoon work focuses on building or refining models, updating dashboards, and documenting insights for stakeholder presentations. The remote environment allows for flexible scheduling while maintaining strong communication through Slack, email, and virtual stand-ups .

Tools and Technologies

Risepoint’s tech stack includes:

• CRM: Salesforce or comparable platforms for lead management and reporting
• Data Analysis: SQL, Python, and Excel for querying, modeling, and visualization
• AI Tools: Claude and ChatGPT for workflow automation and data processing
• Visualization: Dashboard tools integrated with CRM systems for real-time performance tracking
• Collaboration: Slack, email, and virtual meeting platforms for remote team coordination

Skills and Requirements

Technical Skills

Candidates must demonstrate proficiency in SQL and Python for data manipulation and statistical modeling. Familiarity with CRM systems like Salesforce is strongly desired, along with experience in campaign trafficking, tracking, and performance optimization across multiple programs .

Domain knowledge in affiliate marketing models (CPL, CPC, fee-for-service) and vendor management is essential. Experience with AI tools for automation is a plus, as Risepoint actively integrates these technologies into its workflows .

Soft Skills

Communication and teamwork are critical, as you will regularly present findings to non-technical stakeholders and collaborate with agency partners. Problem-solving abilities and the capacity to hold partners accountable to performance metrics are also highly valued .

Risepoint prioritizes curiosity over perfection, seeking candidates who show initiative, adaptability, and a willingness to learn new tools quickly. Strong project management skills ensure you can manage multiple campaigns and priorities simultaneously .

Experience Expectations

The role targets rising juniors or seniors in relevant undergraduate programs; no graduate degree is required. A completed bachelor’s degree is required for full-time roles, but co-ops are typically current students .

Candidates should have a portfolio showcasing data projects, such as predictive models, dashboard builds, or campaign analysis case studies. While GPA is not the primary filter, demonstrated hands-on experience with data tools and marketing analytics concepts is essential .

Salary and Benefits

Estimated pay for a Data Scientist (Marketing Analytics) Co-Op at Risepoint ranges from $25 to $35 per hour, based on market rates for remote data science internships in the edtech and performance marketing sectors. This aligns with industry standards for similar roles requiring SQL, Python, and CRM experience .

Benefits include a fully remote work environment, access to learning budgets for upskilling in AI tools and data platforms, and potential stipends for home office setup. Full-time conversion opportunities exist for high-performing co-ops, with Risepoint’s hiring accelerating and 74 active postings indicating strong growth .

Risepoint Hiring Process

Step-by-Step Hiring Stages

1. Application: Submit resume, portfolio, and optional cover letter via Risepoint’s career portal or job boards
2. Screening: ATS review for keywords like SQL, Python, Salesforce, CPL, CPC, and AI tools
3. Assignment: Complete a data analysis or modeling task using real campaign data
4. Interviews: One or two rounds including technical questions, case study discussion, and behavioral assessment
5. Offer: Receive co-op offer with start date for the upcoming season

Application Timeline

Apply 2–3 months before the upcoming season starts, typically between April and June for summer/fall co-ops. The process duration is usually 3–5 weeks from application to offer, given Risepoint’s accelerating hiring pace and 24 new postings per month in 2025 .

Screening Methods

The ATS prioritizes keywords such as SQL, Python, Salesforce, CPL, CPC, AI tools, and campaign optimization. A portfolio with concrete data projects is required; generic resumes without demonstrated hands-on experience are often rejected .

Interview Preparation

Example Interview Questions

Realistic questions for this role include:

• “How would you analyze CPL and CPC metrics to optimize a university’s affiliate campaign?”
• “Describe a predictive model you built to forecast lead quality or conversion rates.”
• “How have you used AI tools like Claude or ChatGPT to automate data workflows?”
• “Explain how you would hold an agency partner accountable for underperforming campaign metrics.”

How to Answer

Use the STAR method (Situation, Task, Action, Result) to structure responses. For technical questions, walk through your data cleaning, modeling, and validation steps clearly. For behavioral questions, emphasize curiosity, initiative, and collaboration with partners .

What Recruiters Evaluate

Recruiters assess technical proficiency in SQL/Python, understanding of affiliate marketing models, and ability to communicate insights to non-technical stakeholders. They also evaluate problem-solving agility, project management skills, and alignment with Risepoint’s culture of curiosity over perfection .

How to Get Selected

Practical Tips

Build a portfolio with at least 2–3 data projects that showcase campaign analysis, predictive modeling, or dashboard creation. Tailor your resume to include keywords like SQL, Python, Salesforce, CPL, CPC, and AI tools .

Network with current Risepoint employees on LinkedIn to understand team priorities and ask for referral opportunities. Highlight any experience with vendor management or agency collaboration in your application .

Common Mistakes to Avoid

Candidates get rejected for lacking hands-on experience with data tools, submitting generic resumes without portfolio links, or failing to demonstrate understanding of affiliate marketing models. Overemphasizing GPA instead of practical skills is another common pitfall .

How to Stand Out

Advanced strategies include creating a case study that analyzes a real campaign dataset and proposes optimization recommendations. Mention specific AI tools you’ve used for automation and show how you’ve held partners accountable in past projects. A tailored cover letter that references Risepoint’s growth and culture can also differentiate you .

Final Thoughts

The Data Scientist (Marketing Analytics) Co-Op at Risepoint is a strategic move for students aiming to enter the high-growth edtech and performance marketing industry. With remote flexibility, real campaign impact, and a culture that values curiosity, this role offers more than just an internship—it’s a launchpad for a data-driven career .

Take action now: update your portfolio, tailor your resume with key keywords, and apply before the upcoming season fills. Your future in marketing analytics starts with this opportunity .

Frequently Asked Questions

Q: What is the salary for Data Scientist (Marketing Analytics) Co-Op at Risepoint?
A: The estimated pay range is $25–$35 per hour, based on market rates for remote data science internships in edtech and performance marketing .

Q: How competitive is it to get hired at Risepoint?
A: Risepoint is moderately competitive, with 74 active job postings and accelerating hiring growth (50.8% increase in 2025). Candidates with strong portfolios and relevant keywords stand out .

Q: What skills are most important for this role?
A: Key skills include SQL, Python, Salesforce/CRM experience, understanding of CPL/CPC models, and familiarity with AI tools like Claude and ChatGPT for automation .