Data Scientist, Product Growth

Discovery Education; Charlotte (NC); Remote; USD 80,000 - 110,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist in Product Growth, where your expertise in statistical modeling and machine learning will shape the future of educational resources. This remote position allows you to collaborate with diverse teams, driving product growth through data-informed decisions. You'll develop predictive models, conduct rigorous analyses, and contribute to a culture of data-driven product development. With a commitment to inclusivity and professional growth, this role offers a chance to make a meaningful impact in the education sector while enjoying flexible PTO and generous benefits. If you're passionate about leveraging data to enhance user experiences, this opportunity is perfect for you.

Benefits

Flexible PTO

Paid Holidays

Generous Parental Leave

Professional Development Dollars

Medical, Vision, and Dental Insurance

Summer Hours

Company-Paid Life Insurance

Short- and Long-Term Disability

Qualifications

• 4+ years in a quantitative role with experience in product analysis.
• Expertise in statistical analyses and machine learning techniques.

Responsibilities

• Collaborate with product managers on A/B tests for product UX.
• Develop predictive models for user engagement and retention.
• Build data products and analytical frameworks for insights.

Skills

Statistical Modeling

Predictive Analytics

Machine Learning

A/B Testing

Data Analysis

User Segmentation

Communication Skills

Problem-Solving

Education

PhD in Quantitative Field

Bachelor's Degree in Relevant Field

Tools

SQL

Python/R

dbt

GitHub

Snowflake

AWS S3

Job description

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

1. Collaborate closely with product managers to design, analyze, and interpret A/B tests that help address strategic questions regarding product UX changes.
2. Develop predictive models to gain insights into user activation, engagement, and retention.
3. Think creatively & proactively to identify and size new opportunities within Discovery Education’s long term strategic roadmap.
4. Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations.
5. Build data products and analytical frameworks that accelerate and scale insights delivery.
6. Work with engineers to log new data sources and track events as we build new features.
7. Contribute to our data pipeline and analytics infrastructure by building curated data models in Snowflake and dbt.
8. Help establish a culture of data-driven product development by fostering cross-functional partnerships and effectively communicating research insights & best practices.

Minimum Requirements

1. 4+ years experience in a quantitative role, such as a product analyst, researcher, or as part of a PhD program in a quantitative field.
2. Proposed, designed, and executed rigorous experiments with clear insights and actionable recommendations.
3. A strong desire to deliver strategic insights at a high level, while simultaneously being the subject matter expert over the technical details.
4. An intuition for applying quantitative models to uncover user pain points and identify patterns.
5. Familiarity with usage metrics relating to acquisition, activation, engagement, & retention, and/or have experience with user segmentation, recommendations, and personalization.
6. Experience with modern data tech tools such as SQL, Python/R, dbt, GitHub, Snowflake, and/or Segment.
7. Comfort navigating ambiguous problems and environments while remaining proactive and focused on goals.
8. Excellent communication skills with the ability to effectively interact with product managers, engineers, and executives.
9. Legal right to work in the United States.

You are a great fit if you have:

1. Demonstrated experience in mining structured or unstructured data to build predictive models using machine learning, deep learning, or natural language processing techniques.
2. Strong programming background, with the ability to run simulations, prototype variants, or contribute to production codebases.
3. Experience validating quantitative insights with qualitative methods (e.g., surveys, UXR).
4. Experience running A/B tests with modest sample sizes, strong seasonality, novelty effects, or involving hierarchical statistical models.
5. Familiarity with cloud computing tools (e.g. AWS S3, Lambda, & SageMaker)
6. Experience with product-led growth or SaaS enterprise models.
7. 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.

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 to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.

About the company

Discovery Education inspires educators to go beyond traditional learning with award-winning digital content and professional development. Learn more today!