Data Science Intern

Summary

Athena is on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks. The Data Science Intern will contribute to understanding the performance of Executive Partners and building advanced matching models to deliver tailored recommendations based on data insights.

Responsibilities

• Build and refine matching models to evaluate Athena’s Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights
• Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations
• Collaborate closely with data science, product, and engineering teams to integrate models into production systems
• Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process
• Support continuous model optimization and validation efforts

Skills

• Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields
• Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation
• Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models
• Experience working with datasets – cleaning data, feature engineering, and using data visualization tools to present insights
• Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations
• Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models
• Prior exposure to recommendation algorithms or matching systems through coursework or projects
• Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)
• Previous internship or project experience demonstrating practical data science applications
• Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus

Qualifications

Must Haves

• Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields
• Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation
• Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models
• Experience working with datasets – cleaning data, feature engineering, and using data visualization tools to present insights
• Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations

Nice to Haves

• Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models
• Prior exposure to recommendation algorithms or matching systems through coursework or projects
• Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)
• Previous internship or project experience demonstrating practical data science applications
• Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus

Benefits

• Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.
• Hands-On Experience: Work on real-world projects that have direct impact on Athena’s services. You’ll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.
• Inclusive Culture: Experience Athena’s collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks – you’ll be treated as an equal team member throughout your internship.
• Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.