Fast Facts

Join Amplify as a Data Scientist, where you'll utilize data to drive educational advancements for millions of students across the globe, focusing on product efficacy and business strategy.

Responsibilities: Analyze data and enhance understanding of Amplify's products, communicate findings, develop machine learning solutions, and collaborate with teams for actionable insights.

Skills: Proficient in R or Python for data analysis, SQL, statistical methods, and machine learning model development and deployment.

Qualifications: Minimum of 2 years in a data science role or a relevant graduate degree; experience with statistical methods and machine learning frameworks is preferred.

Location: This role is fully remote within the United States.

Compensation: $101000 - $128000 / Annually

A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states. For more information, visit amplify.com.

As a Data Scientist at Amplify, you will join a talented team who seeks empirical answers to crucial questions about Amplify’s products. You’ll play an active role in using data to inform business strategy, product direction, and efficacy. In doing so, you will have an impact on the lives of millions of students across the globe.

Our Data Science team analyzes data generated by tens of millions of students and teachers every year to answer deep questions about how to create engaging and impactful educational experiences. At Amplify, Data Scientists play an active role in improving product design and the business processes which deliver our customers a smooth experience using our products.

• Impress the toughest customers around – students – by building intelligent activity recommendation systems which challenge students just the right amount.
• Help teachers plan great lessons by optimizing what instructional recommendations we provide when.
• Equip passionate content developers with insights about which activities are working well and which need revision.

Some example projects you might work on

• Build and deploy state-of-the-art machine learning systems for learning prediction which inform reporting, activity recommendation and content revisions.
• Empower Customer Success Managers by building machine learning pipelines which predict whether a customer is dissatisfied and at risk of churning and recommend what corrective actions can be taken. 
• Design and analyze experiments to examine the impact of virtual tutoring on student growth trajectories.

Essential Responsibilities:

• Perform data analysis and serve as an analytics expert for stakeholders to enhance the understanding of Amplify’s business and products.
• Craft data stories and narratives to communicate findings clearly and effectively to stakeholders.
• Research, develop and deploy machine learning solutions to solve business problems and improve decision-making.
• Collaborate with cross-functional teams to translate business needs into data-driven solutions and deliver actionable insights.

Minimum Qualifications:

• 2+ years of experience in a data science role or a graduate degree in a science or other quantitative field (eg. Computer Science, Economics, Math, Physics, Statistics).
• Proficiency with statistical methods and when to apply them, e.g. The General Linear Model, latent variable models, Multilevel Regression Models, Multiple Imputation Methods.
• Expert user of either R or Python for data analysis tasks (data cleaning, manipulation, analysis).
• Expert user of SQL, especially its use in data analysis tasks.
• Experience training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost.
• Experience deploying machine learning models from research environments into production environments like AWS Sagemaker, Databricks or Snowpark ML.
• Demonstrated application of software development methodology and protocols, including version control and testing.
• Excellent communication skills in writing and conversation, especially with non-technical partners.
• Experience driving self-directed projects and working cross-functionally. 

Preferred Qualifications:

• Experience working with Snowflake.
• Experience with container technologies, e.g. Docker and Kubernetes.
• Background in education or in edtech.

What we offer:

Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $101,000 - $128,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.

Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.

Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.

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If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.

Amplify is an E-Verify participant.