Since being founded in 2011, Prodigy Education has grown from 3,000 local users to more than 100 million registered users worldwide. As one of the fastest-growing EdTech startups in North America, Prodigy connects students, parents, teachers, and school districts with resources with the goal of promoting a lifelong love of learning. Anyone with an internet connection is welcome to create a free account for Prodigy’s popular Math Game for grades 1 to 8. Prodigy Education also provides online math tutoring via certified teachers who adapt their style and lessons to teach students in the way they learn best. For more information visit www.prodigygame.com.
Our passion is our mission - to help every student in the world love learning!
Our Data team is scaling rapidly as we continue to hit our product and growth milestones!The work you do will aid the educational advancement of millions of students. You will have the chance to apply your analytics skills to not only help kids learn but also help our product and leadership teams to make better decisions.We are looking for a modelling and ML expert to join our growing team. You will have the chance to apply your data analysis, modelling, and coding skills to help our Data, Finance, and Executive teams better understand our business and build the best possible company strategy. You willdevelop advanced models to analyze our paid memberships, and empower allteams withactionable insights on user conversion, churn, and engagement.Your Impact:
- Work with stakeholders, data scientists, and developers to create useful models to analyze our paid memberships.
- Leverage data analytics and quantitative analysis to monitor the model's performance and identify new features to improve KPIs.
- Develop a deep understanding of our internal and external users to identify how our models can help solve their pain points.
- Iterate upon successful MVPs to ensure the user-experience and code quality matches our internal standards.
- Collaborate with key cross-departmental stakeholders to maintain technical product roadmaps, prioritize requests, and ensure that business goals are being met.
- Effectively scope projects so that they are lean, but also add enough value to validate your hypotheses and meet business needs.
- Help our teams explore and understand our business and our users.
- Design and develop a variety of metrics and models to inform the impact of company activities and lines of business.
- Work on a variety of giant datasets, from their development and manipulation to visualizing them via polished dashboards.
- Communicate insights, analysis, and recommendations clearly and accurately to stakeholders with a variety of technical and non-technical backgrounds.
Who You Are:
- At least 3 years demonstrated experience with data science and modelling.
- Specific experience delivering revenue-related models which leverage analytics and machine learning
- Good written and verbal communication skills with the ability to present a strong rationale for product decisions
- Applied computational and mathematical model builder.
- Expert skills and knowledge of SQL andPython programming languages.
- Demonstrated application of model-building and analytics to financially-relevant problems.
- A team and customer centric mindset.
- Passion for solving hard problems andbuilding a great technical product, balancing speed and depth for greatest value.
- Experience in business requirements analysis, design, implementation, and testing of solutions.
- Ability to break down large projects into manageable tasks, and leverage agile methodologies such as Scrum and Kanban
- Experience using analytics and user research to add significant value to a product
- Expertise in working with BI platforms.
- Ability to oversee and work simultaneously on different projects with a variety of timelines.
- Willingness to learn and work in a hyper-growth company
- Love for our mission of helping kids everywhere enjoy learning.
Our Core Technologies:
- SQL amp; Python
- Data-related technologies such as data lakes and warehouses, Spark, Databricks, and similar cloud services
Bonus Points For:
- Degree(s) in Engineering, Computer Science, Stats, Mathematics, or related disciplines.
- Demonstrated ability to solve hard mathematical, algorithmic, and statistical problems.
- Expertise in forecasting,time series analysis,user segmentation, financial modelling, and analyzingStripe or similar transaction data.
- Experience working with cloud platforms like AWS, GCP, Databricks.
- Experience working with A/B testing and experimentation, and applying statistical concepts.
- Significant accomplishments that required both technical and strategic capabilities, such as research projects, open s