Data Scientist, Product Growth

Discovery Education is looking for a Data Scientist, Product Growth to join our Product team. At Discovery Education, we are dedicated to creating exceptional educational resources that inspire students and teachers. As a Data Scientist on the Product Growth team, you will play a crucial role in guiding product development by utilizing advanced statistical modeling, predictive analytics, rigorous measurement (A/B testing), and machine learning techniques. You will become an expert on our users, empowering data-informed decision making and helping us develop the frameworks for understanding and accelerating the company’s growth. The Growth team, which sits within the Research and Analytics vertical, collaborates cross-functionally with product managers, user researchers, designers, engineers, and data analysts to drive product growth. We encourage applicants from non-traditional backgrounds to apply, so please don't be discouraged by the requirements list.

This is a remote role.

What You Will Do

• Collaborate closely with product managers to design, analyze, and interpret A/B tests that help address strategic questions regarding product UX changes.

• Develop predictive models to gain insights into user activation, engagement, and retention.
• Think creatively & proactively to identify and size new opportunities within Discovery Education’s long term strategic roadmap.
• Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations.
• Build data products and analytical frameworks that accelerate and scale insights delivery.
• Work with engineers to log new data sources and track events as we build new features.

• Contribute to our data pipeline and analytics infrastructure by building curated data models in Snowflake and dbt.
• Help establish a culture of data-driven product development by fostering cross-functional partnerships and effectively communicating research insights & best practices.

Requirements

• 4+ years experience in a quantitative role, such as a product analyst, researcher, or as part of a PhD program in a quantitative field.
• Proposed, designed, and executed rigorous experiments with clear insights and actionable recommendations.
• A strong desire to deliver strategic insights at a high level, while simultaneously being the subject matter expert over the technical details.
• An intuition for applying quantitative models to uncover user pain points and identify patterns.
• Familiarity with usage metrics relating to acquisition, activation, engagement, & retention, and/or have experience with user segmentation, recommendations, and personalization.
• Experience with modern data tech tools such as SQL, Python/R, dbt, GitHub, Snowflake, and/or Segment.
• Comfort navigating ambiguous problems and environments while remaining proactive and focused on goals.
• Excellent communication skills with the ability to effectively interact with product managers, engineers, and executives.
• Legal right to work in the United States.

You are a great fit if you have:

• Demonstrated experience in mining structured or unstructured data to build predictive models using machine learning, deep learning, or natural language processing techniques.
• Strong programming background, with the ability to run simulations, prototype variants, or contribute to production codebases.
• Experience validating quantitative insights with qualitative methods (e.g., surveys, UXR).

• Experience running A/B tests with modest sample sizes, strong seasonality, novelty effects, or involving hierarchical statistical models.
• Familiarity with cloud computing tools (e.g. AWS S3, Lambda, & SageMaker)
• Experience with product-led growth or SaaS enterprise models.
• A strong desire to learn any of the above skills and techniques.

Benefits

• Flexible PTO.
• Paid holidays include Thanksgiving, Christmas, and New Year’s Eve.
• Generous parental leave.
• Annual education and professional development dollars.
• Major medical, vision, and dental (multiple choices).
• Summer hours and company recharge days.
• Company-paid life insurance and short- and long-term disability.
• Pet insurance.
• Company paid volunteer hours.

Discovery Education is an equal opportunity employer. Discovery Education is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive