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Sr. Data Scientist, Analytics - User Growth

About Quizlet:


Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.  


Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.  


Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.  


To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.



About the Team:


The Data Science, Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. Our team outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying as well as driving inquiry on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partners with data scientists to make sure we are building a data-driven culture.


About the Role:


As a Growth Data Scientist, you will partner closely with Product, Engineering, Design, and Data Science to build amazing products that will drive users to Quizlet. You will bring together insights across our vast user growth data, enabling you to identify new high-value opportunities, analyze A/B test experiments, recommend data-driven product decisions, define key business metrics, set company-wide goals, and present quantitative product research. 


This is a hybrid role based out of our Los Angeles, New York, and San Francisco office hubs.


In this role, you will:

  • Be focused on driving business insights through data 
  • Develop analytical frameworks and foundations to enable actions and next steps in the business
  • Be embedded in a specific product pod and partner with the Product Manager and Engineering Lead to go deep into one part of Quizlet’s business
  • Help develop A/B testing through the entire experimentation life cycle, including inception, creation, measurement, and recommendations
  • Explore, develop, and present insights to the whole company that inform product roadmap and strategy, using one of the world’s largest learning science databases
  • Drive maturity and excellence in the way we measure success of our business


What you bring to the table:

  • 4+ years of experience in data science at a consumer internet company
  • 2+ years working on growth or international product teams
  • Proven experience running A/B tests and using statistical techniques for modeling and predicting user behavior
  • Proven experience in driving product strategy recommendations with insights and modeling
  • Proven experience with creating and owning resilient ETLs that power business metrics
  • Advanced SQL skills, window functions, sub-queries, etc
  • Strong communicator: effectively synthesize, visualize, and communicate your ideas to others


Bonus points if you have:

  • Experience with BigQuery
  • Experience with dbt


Compensation, Benefits & Perks:

  • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $132,000 - $172,500, depending on location and experience, as well as company stock options
  • Collaborate with your manager and team to create a healthy work-life balance
  • 20 vacation days (and we expect you to take them!)
  • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
  • Employer-sponsored 401k plan with company match
  • Access to LinkedIn Learning and other resources to support professional growth
  • Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
  • 40 hours of annual paid time off to participate in volunteer programs of choice



We strive to make everyone feel comfortable and welcome! 

We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.

We provide a transparent setting, that gives a comprehensive view of who we are!  



In Closing:


We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.


We have a bias for action, take initiative, and take pride in delivering results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.


Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!


To All Recruiters and Placement Agencies:

At this time Quizlet does not accept unsolicited agency resumes and/or profiles. 

Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

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CEO of Quizlet
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Matthew Glotzbach
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Average salary estimate

$152250 / YEARLY (est.)
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$132000K
$172500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Data Scientist, Analytics - User Growth, Quizlet

At Quizlet, we're on a mission to transform the learning experience, and we're looking for a Sr. Data Scientist, Analytics - User Growth to join our dynamic team! This hybrid role can be based in Los Angeles, New York, or San Francisco, and offers you the chance to work closely with Product, Engineering, Design, and other Data Scientists to build innovative products that enhance user engagement. As a Sr. Data Scientist, you’ll dive deep into our extensive user data to uncover valuable insights that will inform our growth strategies. You’ll be instrumental in developing analytical frameworks that support our business objectives, while also driving A/B testing initiatives and analyzing experiment results to shape our product roadmap. Your role will involve synthesizing complex data into actionable recommendations for product teams, ensuring we're making informed decisions to better serve our community of learners. With over four years of experience in data science at a consumer internet company, and a strong grasp of SQL and statistical modeling, you'll leverage your expertise to support our growth initiatives. At Quizlet, we foster a collaborative culture and value diverse perspectives, so if you’re passionate about making learning accessible to all and excited to tackle data challenges in a thriving environment, we’d love to see you apply and join our journey!

Frequently Asked Questions (FAQs) for Sr. Data Scientist, Analytics - User Growth Role at Quizlet
What are the main responsibilities of the Sr. Data Scientist, Analytics - User Growth at Quizlet?

As the Sr. Data Scientist, Analytics - User Growth at Quizlet, your main responsibilities will include partnering with various teams to analyze user growth data, developing analytical frameworks to drive business insights, managing the A/B testing process from inception to recommendation, and communicating insights that shape our product strategies. You will play a crucial role in identifying high-value growth opportunities backed by data-driven decisions.

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What qualifications do I need to apply for the Sr. Data Scientist role at Quizlet?

To apply for the Sr. Data Scientist, Analytics - User Growth position at Quizlet, you should have at least 4 years of experience in data science within a consumer internet company, and a minimum of 2 years working on growth or international product teams. Proficiency in SQL and expertise in A/B testing, statistical modeling, and analytical frameworks are essential. Excellent communication skills are also necessary to convey complex insights effectively.

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What type of projects can I expect to work on as a Sr. Data Scientist at Quizlet?

In the role of Sr. Data Scientist, Analytics - User Growth at Quizlet, you can expect to work on exciting projects that involve analyzing user behavior, designing A/B test experiments, and collaborating closely with product teams to enhance user engagement. Your insights will directly influence our product roadmap and overall growth strategy, giving you a profound impact on our mission to foster learning.

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What makes Trivia Data Scientist role at Quizlet unique?

The uniqueness of the Sr. Data Scientist, Analytics - User Growth role at Quizlet lies in our dedication to leveraging a massive dataset that represents diverse learners around the globe. With the opportunity to influence product strategy and contribute to our mission while working in a collaborative environment, you will engage in intellectually stimulating projects that make a difference in education for millions of users.

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How does Quizlet support professional growth for Sr. Data Scientists?

Quizlet is committed to supporting the professional growth of its team members, including Sr. Data Scientists. We offer access to resources like LinkedIn Learning for skill enhancement, a competitive benefits package, and a culture that encourages continuous learning and collaboration. Our employees enjoy 20 vacation days, flexible work-life balance, and opportunities to participate in community service programs, fostering an enriching workplace experience.

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Common Interview Questions for Sr. Data Scientist, Analytics - User Growth
Can you explain your experience with A/B testing in your previous data science roles?

In my previous roles, I have successfully designed and implemented A/B tests to evaluate user interactions and engagement with various product features. I ensure the tests are statistically sound by clearly defining hypotheses, determining metrics for success, and interpreting the results to provide actionable recommendations to product teams. My experience has helped me understand how to balance both qualitative and quantitative insights when presenting findings.

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How do you communicate complex data insights to non-technical stakeholders?

I focus on simplifying complex data insights by using clear visualizations and straightforward language to communicate the essence of the findings. I tailor my presentations to match the audience's technical proficiency, ensuring that key takeaways are easily digestible. I also encourage questions to engage discussion, making sure that decision-makers are informed and confident in the data-driven strategies.

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What statistical techniques do you frequently use for modeling user behavior?

I commonly use statistical techniques such as regression analysis, clustering, and time series analysis to model user behavior. Depending on the specific scenario, I apply these techniques to predict future trends, segment users based on behavior, and identify patterns that can inform product enhancements. My approach is always data-driven, ensuring that the techniques align with the specific business questions we're exploring.

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How do you prioritize multiple data projects in a fast-paced environment?

In a fast-paced environment, I prioritize data projects by aligning them with the overall business objectives and the potential impact they may have. I engage with stakeholders to understand their needs, evaluate resource availability, and set clear timelines. Regular check-ins and agile methodologies also allow me to adjust priorities based on emerging data needs and maintain flexibility in project execution.

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Describe your experience with data visualization tools and their impact on decision-making.

I have experience working with a variety of data visualization tools, such as Tableau and Looker, which have significantly enhanced my ability to communicate insights. By translating complex data into visual formats, I can better illustrate trends, patterns, and anomalies that drive decision-making. This visual clarity helps stakeholders quickly grasp the information, allowing them to make informed and timely decisions based on actionable insights.

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What methods do you use to ensure data accuracy and integrity?

To ensure data accuracy and integrity, I implement a series of validation checks throughout the data pipeline, from extraction to analysis. This includes thorough data cleaning, establishing validation rules, and conducting regular audits on the data used for analyses. I also prioritize using trusted data sources and ensuring the processes for maintaining data quality are documented and adhered to.

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How do you handle conflicting data analyses or results?

When faced with conflicting data analyses, I take a systematic approach to investigate the discrepancies. I revisit the methodologies applied, verify the sources of data, and ensure that the assumptions used in the analyses are fully understood. By collaborating with team members, I can explore alternative interpretations and ultimately propose a well-founded conclusion based on rigorous analysis and consensus building.

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What experience do you have with developing ETL processes?

I have significant experience in developing and managing ETL (Extract, Transform, Load) processes, ensuring that our data flows are efficient and reliable. This includes designing resilient pipelines that automate the data integration process, defining clear data transformation rules, and conducting regular performance checks. This expertise allows me to power consistent business metrics and analyses that drive decision-making.

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Can you discuss a successful project where your data insights drove product strategy?

In one of my recent projects, I analyzed user behavior data to identify a significant drop-off at a critical stage in our onboarding process. By applying cohort analysis and user feedback, I presented insights that informed the product strategy, leading to UX improvements and a corresponding increase in user retention rates. The success of this initiative demonstrated the power of data in shaping impactful product decisions and enhancing the user experience.

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What motivated you to apply for the Sr. Data Scientist position at Quizlet?

I'm motivated to apply for the Sr. Data Scientist position at Quizlet due to my passion for education and technology, as well as my admiration for the innovative work Quizlet is doing to empower learners. I believe that my background in data science, coupled with my enthusiasm for driving growth and improving learning experiences, aligns perfectly with Quizlet’s mission. I’m excited about the opportunity to collaborate within a diverse team and contribute to meaningful outcomes in education.

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Helping students (and their teachers) practice and master whatever they are learning.

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Full-time, hybrid
DATE POSTED
April 2, 2025

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