Birdy Grey · 1 day ago
Data Engineering Scientist
Birdy Grey is a direct-to-consumer brand focused on providing affordable bridesmaid dresses and groomsmen suits. They are seeking a Data Engineering Scientist to build pipelines, analyze data, create dashboards, and develop models, contributing to the company's data-driven decision-making.
E-CommerceFashionWedding
Responsibilities
Lead the application of statistical and machine learning methodologies (using Python and relevant frameworks) to solve core business problems, focusing on predictive and prescriptive outcomes
Co-design rigorous A/B and multivariate experiments, ensuring statistical validity to accurately measure the impact of product and business changes
Identify opportunities where machine learning or advanced analytics can add value
Prototype data-driven solutions to business problems
Architect and Deploy robust data pipelines to collect, transform, and load data from various sources
Design and optimize data storage solutions and database schemas
Ensure data quality, reliability, and accessibility across the organization
Automate repetitive data processes and workflows
Establish and enforce data governance and security standards within our Cloud environment
Serve as the embedded strategic data partner for key business teams, translating complex challenges into measurable analytical projects
Design and manage high-impact, self-service business intelligence assets (primarily in Looker) that accelerate organizational decision velocity
Conduct ad-hoc analyses to uncover insights and opportunities
Translate complex findings into clear, actionable recommendations
Qualification
Required
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. Must be adept at designing, optimizing, and tuning complex queries, stored procedures, and scripts, specifically utilizing analytic window functions, CTEs, and advanced join techniques
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
Preferred
Start-up experience
Interest in bridal and fashion
Experience with ticketing systems and change management processes
Interest in increasing productivity via Automation & AI
Start-up or D2C/e-commerce experience
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
Company
Birdy Grey
Birdy Grey is a direct-to-consumer bridal startup providing millennial bridal parties with aspirational gowns.
Funding
Current Stage
Growth StageTotal Funding
unknown2019-08-14Seed
2018-12-01Pre Seed
Recent News
Retail Dive
2025-02-11
2024-02-17
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