Data Engineering Scientist

Birdy Grey is a direct-to-consumer brand whose mission is to celebrate friendships during one of the most important milestones in a person’s life: their wedding. We're looking for a Data Engineering Scientist who thrives on variety and is energized by wearing multiple hats, statistically rigorous, hungry to learn new things, and eager to observe the direct impact of their work.

Requirements

• Bachelor’s Degree Required
• 5+ years of hands-on experience in a data science, data engineering, data analyst, analytics engineering, or ML role
• Expert SQL skills
• Expertise with Python (preferably) or R for data analysis and automation
• Expertise with at least one data visualization tool, preferably Looker
• Experience with Cloud data platforms, DevOps, MLOps (AWS, GCP, Azure)
• Knowledge of data orchestration tools (Airflow, Prefect, dbt, Dagster, etc.)
• Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)
• Experience with version control (Git) and software engineering best practices
• Familiarity with marketing analytics, retail, and econometric principles
• Understanding of basic statistics and when to apply different analytical approaches
• Ability to communicate technical concepts to non-technical stakeholders
• Comfortable with ambiguity and figuring things out independently

Benefits

• Competitive Compensation: Based on experience and performance + Annual Performance Bonus
• Healthcare Benefits: 100% employer covered medical dental & vision plans, 50% spouse and dependent medical coverage + access to One Medical + Mental Health Benefits
• Retirement: 401K + up to 4% match after 3 months
• Generous PTO: Flexible Open PTO Policy + 11 paid holidays
• Wellness: A monthly wellness day + monthly wellness stipend + summer Fridays
• Flexibility: Partial remote with a high level of autonomy and accountability + $25 monthly WIFI stipend
• Employee Discount: Free bridesmaid dresses + 50% discounts on Birdy Grey products
• Family Benefits: 3 months of paid parental leave