Lead Data Scientist
Core
Develop data processing pipelines and analytical methodologies to simulate production process impacts and measure consumer behavior online and in-store.
Role type
Lead Data Scientist (Consumer Analytics)
Builds
Data processing pipelines, simulation tools for production impact, and consumer behavior measurement systems
Domain
Consumer Intelligence / Retail Analytics
Deliverable
production ML models | product features
Required skills
Python, PySpark, SQL, statistics, econometrics, panel data analysis, data cleaning, outlier validation, large dataset manipulation
Preferred skills
AzureAI, Databricks, Snowflake, GitHub, Bitbucket, software engineering design, cloud computing
Technologies
Python, PySpark, SQL, AzureAI, Databricks, Snowflake, GitHub, Bitbucket
Responsibilities
Design new analytical methods and translate them into specifications; own and refine data processing pipeline steps; collaborate with engineering teams for scalable implementation; coordinate with stakeholders to gather requirements and ensure alignment; present findings and recommendations; handle complex datasets and perform statistical analysis.
Seniority
Senior, hands-on IC with leadership potential