Summary Description:

We are seeking a highly motivated Data Scientist to join our team and play a pivotal role in leveraging data to improve educational outcomes. This role focuses on solving real-world classroom challenges by exploring data, developing insights, and delivering actionable results. The ideal candidate will thrive in a collaborative environment and have a passion for using data to make a tangible impact on education.

Qualifications:

1. Education: Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or a related field and at least two years of experience or equivalent combination.
2. Experience: 8+ years in a data science role with a focus on developing and deploying practical machine learning solutions.
3. Technical Skills:

• Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, etc.), R, and SQL.
• Experience with big data tools and platforms such as Spark, Hive, Snowflake, and AWS Redshift.
• Strong statistical modeling skills (regression, classification, time series forecasting, etc.).
• Familiarity with data visualization tools like Tableau or Power BI.

Responsibilities:

• Analyze structured and unstructured data to build, deploy, and improve machine learning models and statistical analyses that address business needs.
• Collaborate with cross-functional teams (content, product, assessment, engineering) to identify opportunities, explore data sets, and deliver scalable, actionable insights.
• Design and execute experiments (e.g., A/B testing) to optimize product features and improve user engagement, growth, and retention.
• Develop subject matter expertise across various domains to support a diverse range of projects.
• Translate complex analytical findings into clear, concise recommendations for technical and non-technical stakeholders, including senior leaders.
• Work with data engineering teams to implement and operationalize models, data pipelines, and other scalable solutions.
• Create compelling visualizations to effectively communicate data insights and trends.
• Stay updated on emerging data science tools and techniques to continuously enhance methodologies.

Soft Skills:

• Excellent communication skills to present findings to technical and non technical audiences.
• Strong collaboration and stakeholder management capabilities.
• Self-starter with a pragmatic approach to problem-solving, capable of working with minimal oversight.

Considerations:

We’re looking for candidates who are pragmatic, focused on delivering results, and eager to bridge the gap between exploration and productization. This role emphasizes real-world applications over academic research and offers opportunities to drive customer impact in meaningful ways.