Data Scientist II performing analytics and modeling to improve fraud strategies at Truist. Engaging with stakeholders and developing data - driven solutions for risk management and business outcomes.
About the role
- Data Manager leading a team of engineers to enhance data architecture and analysis capabilities at Huckberry. Overseeing data projects to meet business goals while ensuring quality and efficiency.
Responsibilities
- Own prioritization and project management for the data team, balancing competing stakeholder requests with strategic data initiatives
- Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and transformations across the stack (dbt, BigQuery, Fivetran/Stitch, Rudderstack)
- Partner with the VP of Technology to maintain, optimize, and evolve Huckberry’s data architecture, including our warehouse (BigQuery), ingestion layer (Fivetran/Stitch, Rudderstack), ML platform (Databricks), and activation tools (Hightouch, Eppo, Hex)
- Build out and maintain Huckberry’s semantic layer, defining consistent business logic and metrics that can be consumed by BI tools, LLMs, and self-serve analysis platforms
- Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable natural-language querying and automated insight generation across the business
- Expand data access and literacy across the company, reducing bottlenecks on the data team by enabling self-serve analytics for Marketing, Merchandising, Finance, and Product teams
- Ensure data quality, reliability, and documentation across all pipelines and models; establish and enforce testing, monitoring, and alerting standards
- Manage and mentor the data team, providing clear direction, code review, and performance feedback
- Evaluate and recommend new tools, vendors, or architectural changes to improve the data platform’s capabilities and cost-efficiency
Requirements
- 5+ years of experience in data engineering, analytics engineering, or a related technical data role
- Prior experience managing or leading a team, whether data-specific or cross-functional, internal or external
- Strong proficiency with SQL and at least one programming language (Python preferred)
- Hands on experience with modern data stack tools such as dbt, BigQuery (or Snowflake/Redshift), and Fivetran or similar ingestion platforms
- Familiarity with BI/reporting platforms (Looker, Hex, or equivalent) and a point of view on enabling self-serve analytics
- Track record of balancing technical execution with project management and stakeholder communication
- Comfort working in a lean, fast moving environment where you’ll alternate between strategic planning and hands on building
- Nice to Have
- Experience with semantic layer tooling (dbt Semantic Layer, Cube, Looker’s modeling layer) or defining governed metrics and business logic as reusable definitions
- Exposure to applying LLMs or AI tooling to data workflows, natural-language querying, automated reporting, or similar
- Experience with a CDP or reverse ETL tool (e.g., Hightouch, Census)
- E-commerce or DTC retail experience
Benefits
- Medical, Dental, Vision benefits
- 401(k) and employer match
- Annual Huckberry shopping credits
- Paid Sabbatical leave at 4 years
- Summer Fridays
- Weekly catered lunch
- Monthly happy hours
- Mental health resources
- Paid Parental Leave
- Paid Vacation & Paid Sick Leave
- Volunteer Time Off
- Generous employee discount
- WFH flexibility
- Annual offsites
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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