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

Analytics Partners, Inc.; Ohio; On-site; USD 28,000 - 48,000; Part time

Benefits offered by this job

Medical, dental, vision benefits

Retirement plan with employer match

Generous PTO and parental leave

Professional development opportunities

In-office snacks and team events

Job summary

Analytics Partners, Inc. in Ohio seeks a motivated student data science mentee to support analytics initiatives. You will apply ML, statistics, and optimization methods to real-world problems and help expand the AP analytics platform.

You’ll collaborate with cross-functional teams, conduct data analyses, document model details, and contribute to implementing algorithms while developing Python and SQL skills in a supportive environment.

Qualifications

• Solid technical skills in probability and statistics, machine learning, and optimization algorithms.
• Familiarity with version control systems such as Git.
• Current 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, ownership, curiosity, and teamwork.
• Proficient in Python and SQL.
• Experience implementing common machine learning algorithms from scratch (e.g., linear regression, logistic regression, decision trees, k-memeans, Bayesian regression).
• Linux and R skills.

Responsibilities

• 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.

Skills

Probability & statistics

Machine learning

Optimization

Python

SQL

Communication

Team collaboration

Education

Undergraduate or graduate student (graduating 2027–2028)

Tools

Git

Linux

R

Python environments

Job description

• 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 algorithmsFamiliarity with version control systems such as GitCurrently an undergraduate or graduate student graduating between 2027 and 2028Able to set up and maintain Python environments, including virtual environments, dependency management, and package installationsStrong 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 environmentProficient in Python and SQLExperience implementing common machine learning algorithms from scratch, such as linear regression, logistic regression, decision trees, k-means clustering, and Bayesian regressionLinux and R skills