Associate Data Scientist

About the role

We are seeking an Associate Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform marketing investment, and enhance the user experience.

Responsibilities

• Translate complex business questions into clear problem statements, success metrics, and actionable quantitative solutions.
• Use an iterative approach: start with quick, decision-useful analysis, then refine based on feedback and observed impact.
• Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to productionize and monitor.
• Contribute to delivering clear, impactful insights to stakeholders.
• Collaborate across the Product organization to operationalize data science solutions that inform strategy and optimize the user experience.
• Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing.

Requirements

• A solid foundation in Python and SQL.
• Ability to translate business problems into data problems.
• Comfort writing production-quality code in a collaborative environment.
• Clear communication with technical and non-technical stakeholders through concise storytelling and visualizations that translate findings into actionable insights.
• Judgment to balance technical rigor with functional usability and business adoption.
• A willingness to continuously learn new tools and techniques.

Qualifications

• 0-2 years of experience in Data Science and ML Engineering.
• MS in Statistics, Data Science, Computer Science, or related discipline preferred; or equivalent professional industry experience.
• Experience with supervised and unsupervised learning methodologies.
• Experience with data exploration, transformation, and model development, with exposure to productionizing and monitoring.
• Strong data fluency: selecting the right inputs, engineering business-relevant features, and validating that findings are reliable.
• Familiarity with core statistical/ML methods and model validation fundamentals.
• Concise and influential communication skills for a wide variety of stakeholders.
• Ability to produce clear technical documentation and stakeholder presentations.
• Strong attention to detail with a penchant for data accuracy.

Benefits

• Attractive compensation and comprehensive benefits packages.
• Generous paid time off.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.

Pay

Hiring Salary Range: $99,000- $123,000. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

Schedule

This is an onsite role requiring (5) days in office based out of our Burbank, CA or New York City, NY location.