Marketing Sciences Intern
Hypothesis Group
internship
Posted on:
Location Type: Hybrid
Location: Los Angeles • Arizona • California • United States
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Salary
💰 $18 per hour
Job Level
About the role
- This internship is a hands-on introduction to the field of applied market research.
- You will have the opportunity to work directly with seasoned researchers and contribute to work for clients like Disney, Toyota, and Starbucks.
- Proactively learn the Hypothesis research process and standards
- Observe and gain exposure to quantitative research methodologies, traditional statistical and modern machine learning techniques
- Contribute to the development of in-house/client-facing data-driven deliverables (dashboards, modeling outputs, and data-driven report summaries)
- Assist senior managers with tasks related to multiple phases of research projects, such as quality control, data accuracy, and consistency checks
Requirements
- May be pursuing a degree/recently completed a degree in statistics, data science, quantitative psychology, business, or related fields
- Have some experience in applied statistics and/or machine learning methods (experience beyond coursework is preferred, personal projects are great)
- Some knowledge of programmatic coding (tell us what you like to work in and why! Can you code outside of generative AI?)
- Some knowledge of classical statistical methodologies, machine learning techniques and their applications (e.g., EDA, linear modeling, classification modeling, tree-based approaches, data-reduction)
- Ability to convert modeling outputs into compelling storytelling
- Has strong attention to detail and critical thinking skills
- Is proactive, dependable, and eager to contribute to a collaborative team
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
applied statisticsmachine learningquantitative research methodologiesclassical statistical methodologiesexploratory data analysis (EDA)linear modelingclassification modelingtree-based approachesdata-reductionprogrammatic coding
Soft Skills
attention to detailcritical thinkingproactivedependablecollaborativestorytelling