Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
We are looking for a Lead Data Science Engineer with strong exposure to Bid data; out of box thinking coupled with experience to drive data analytics, data modeling, and enhance tools/data infrastructure. You will build and integrate systems and processes for internal and external consumers to better understand user behavior and marketplace dynamics as the company scales. As a successful Data Science Engineer, you will not only integrate and implement data analysis tools but also help define and influence key business metrics and analysis frameworks that bring the Wonderschool vision to life.
Responsibilities:
- Lead the planning, development, implementation, and support of the analytics data infrastructure.
- Guide the data team and vendor partners, overseeing their work, and prioritizing projects based on customer and internal needs.
- Take ownership of deliverables for the data analytics team, including data infrastructure, data pipelines, and reporting dashboards, ensuring timely and accurate delivery.
- Perform in-depth analysis and validation of source data, ensuring data integrity and identifying any discrepancies or issues, and taking appropriate actions for data cleansing and transformation.
- Lead the deployment and auditing of models and attributes to ensure the performance of data-driven models.
- Proactively debug and resolve data issues across the entire data stack, identifying and addressing root causes in a timely fashion to minimize disruptions to data processes and reporting.
- Establish and maintain extensive documentation on Wonderschool's data architecture, including data sources, data flows, transformations, and data definitions.
- Architect, build, and maintain Wonderschool's data warehouse, leveraging appropriate technologies and frameworks to optimize data storage, retrieval, and analysis.
- Implement and enforce data security measures to protect sensitive data, including personally identifiable information (PII) and financial data.
- Stay up to date with emerging trends and advancements in data engineering, analytics, and data governance.
- Collaborate with cross-functional teams, including product managers, data scientists, and stakeholders, to understand business requirements, prioritize data initiatives, and align data engineering efforts with overall organizational goals.
- Foster a culture of continuous improvement, innovation, collaboration, and knowledge sharing.
- Stay current on industry best practices and participate in professional development activities to enhance skills and expertise in data engineering and analytics.
