Data Scientist (Internship — Co-op, January 2027)

• Apply scientific methodologies and techniques creatively to solve real-world problems and generate business impact
• Research data science methodologies and derive novel analytical solutions to expand the company’s solution capabilities and options
• Work with cross-functional business teams on client engagement and implementation, and discover and address users’ pain points to enhance the AP analytics platform
• Conduct data analysis using various tools and techniques
• Assist in documenting model specifications and implementation details
• Assist team members in developing and implementing statistical, machine learning, and AI solutions, models, and algorithms
• Communicate effectively with stakeholders to understand business needs and requirements

Benefits

• Competitive Benefits: Access robust medical, dental, and vision coverage
• Invest in Tomorrow: Save for the future with a retirement plan, featuring employer match
• Work-Life Balance: Enjoy generous PTO, company holidays, and expanded parental leave
• Commitment to Growth: Keep growing with continuous professional development opportunities and support
• Culture of Connection: Connect with your collaborators at fun employee events, or over in-office snacks

• Solid technical skills in probability and statistics, machine learning, and optimization algorithms
• Familiarity with version control systems such as Git
• Currently an undergraduate or graduate student graduating between 2027 and 2028
• Able to set up and maintain Python environments, including virtual environments, dependency management, and package installations
• Strong verbal and written communication skills, a great work ethic, a sense of ownership and intellectual curiosity, and the desire and ability to collaborate in a team environment
• Proficient in Python and SQL
• Experience implementing common machine learning algorithms from scratch, such as linear regression, logistic regression, decision trees, k-means clustering, and Bayesian regression
• Linux and R skills