JOB SUMMARY

We are seeking a motivated Data Scientist Intern to join our team for the summer. This internship offers hands-on experience working with real-world data challenges and the opportunity to contribute to impactful projects. The intern can choose to focus on either the Modeling Track or the Machine Learning Engineering Track, based on their interests and career goals.

PRIMARY ACCOUNTABILITIES

• Design, develop, and deploy machine learning models for a variety of applications, which may include predictive analytics, classification, clustering, recommendation systems, and LLM agents.
• Work with large datasets to clean, preprocess, and analyze data, ensuring data quality and integrity.
• Implement and optimize algorithms using best practices in machine learning, deep learning, and statistical analysis.
• Collaborate with senior data scientists and business stakeholders to understand requirements and deliver data-driven solutions that provide actionable insights.
• Develop scalable pipelines and infrastructure for data processing and model training, versioning, deployment, and monitoring.
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and relationships within data.
• Evaluate the performance of machine learning models and tune models for optimal performance.
• Communicate findings, insights, and model performance to both technical and non-technical audiences.

KNOWLEDGE, SKILLS AND ABILITIES

Minimum Required Qualifications

Master's Degree: Pursuing a degree in Data Science, Computer Science, Statistics, Machine Learning, or related field. Must have completed at least one course in each of the following areas: statistics, machine learning, and computer science

• Proficiency in Python
• Excellent problem-solving skills, analytical thinking, and the ability to work in a fast-paced environment
• Strong communication skills

Behavioral

• Collaborator: work effectively with others, including domain experts, engineers, and business stakeholders
• Inquisitive: desire to ask questions and get a deeper understanding of issues
• Innovative: ability to imagine new analytical solutions to any problem
• Confident: able to challenge perceptions and biases of individuals at every level of the organization.
• Curious: stays abreast of current and upcoming technologies and tools
• Business-oriented: ability to develop a solid understanding of business requirements and vernacular

Preferred Qualifications

• Proven experience in machine learning, statistical modeling, and data analysis, either through original personal or course project(s), or previous internship.
• Strong programming skills in Python
• Experience working in a cloud environment, especially experience with Databricks
• Familiarity with LLM architectures and Generative AI

WORK ENVIRONMENT

This role is fully remote. Must be physically able to perform the essential functions of the job.

This role will pay $30 per hour.

Our Values in Action: How We CARE

We live our values daily through four commitments:

• Connect: Collaborate selflessly to support others, advance ideas, and solve problems using critical thinking.
• Act: Bring integrity and respect to every interaction—no exceptions.
• Reach: Commit to continuous learning and knowledge sharing that strengthens teams and clients.
• Embrace: Foster inclusion and belonging so everyone can thrive and contribute.

SullivanCotter Holdings, Inc. is an Equal Employment Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law or marital status.