Danta Technologies is looking to solve business and technical problems in retail analytics by hiring a Lead Data Scientist
Requirements
- Python
- SQL (specifically DataOps practices)
- DevOps (especially in a data or ML pipeline context)
- ADF (Azure Data Factory)
- Spark, R, Databricks
- Data visualization: Power BI, Tableau, Looker
- Cloud platforms: Azure, AWS, GCP
Responsibilities
- 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)
Other
- 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.
- Valid U.S. work authorization
