Data Engineer
- San Francisco, CA
- $55.00-60.00 per hour
- Permanent
- Full-time
- Lead data science and analytics initiatives across core retail functions ike merchandising, pricing, supply chain, customer behavior, marketing, and omnichannel operations.
- Collaborate with business leaders to define analytics use cases and translate them into high-impact solutions.
- Build, deploy, and manage machine learning models and statistical algorithms for forecasting, segmentation, recommendations, and optimization.
- Interpret and present analytical findings in business-friendly terms, driving adoption of insights and models.
- Work closely with data engineering teams to ensure data availability, quality, and proper pipeline design.
- Lead and mentor junior data scientists and analysts, fostering a culture of experimentation and innovation.
- Drive adoption of analytics tools and platforms across the organization (e.g., dashboards, self-service BI, ML platforms).
- Strong expertise in data science, machine learning, and statistical modeling.
- Proficiency in tools and languages such as Python, R, SQL, Spark, and Databricks.
- Experience with retail analytics use cases such as:
- Sales & demand forecasting.
- Price & promotion analytics.
- Customer segmentation & churn prediction.
- Inventory & supply chain optimization.
- Assortment & space planning.
- Hands-on experience with data visualization tools like Power BI, Tableau, or Looker.
- Familiarity with cloud ecosystems (Azure, AWS, or GCP) and MLOps practices is a plus.
- Strong business acumen and ability to influence stakeholders with data.
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
- 12 years of experience in analytics or data science, preferably in the retail domain.
- Proven track record in leading data science projects from ideation to production.
- Experience working in Agile/SAFe environments and collaborating with cross-functional teams.
- Certifications in data science, cloud platforms, or analytics tools are a plus.
- REQUIRED - ADF, SQL(DataOps), Python, Devops.