Senior Data Scientist - Retail

Must to have Skills : Pyspark, Snowflake, AWS- S3 OR Amazon S3

Marketing Analytics and Market Mix Modeling

Responsibilities :

- Understand business needs to define data models/algorithm needs; generating insights from complex data questions

- Ensure consistency in testing reads, tracking success criteria

- Ensure the single source of truth in data

- Work collaboratively with other team members to define the advanced analytical modeling capabilities and outcomes required to enable marketing & personalization use cases

- Work collaboratively with the other Analysts, Data Engineers, and Data Architects to identify and spec the data fields and data features needed for analytical models, and adapting and testing them

- Design the test and learn / measurement approaches and techniques for newly deployed use cases

- Work with team to build, manage and measure lifts from test and control populations

- Work with Data Engineers and Systems Specialists to operationalize models to scale use cases

- Work with other members of the Marketing and Tech teams including Data, Analytics, and Product teams to peer review code, write unit tests, and provide feedback on data structuring and modeling approaches + scalability as required

- Be an SME of all data sources such as browse, all channel transactions, product, market research, credit, loyalty, and 3rdparty data to drive efficiencies, maximize profitability, drive customer loyalty, and optimize promotional strategies.

- Participate in the strategic development of system capabilities within advanced analytics and modeling, data mining, and database marketing

- Support Customer Analytics group through ownership of specific personalization goals

- Develop fact-based strategic and tactical business plans/presentations for leadership on key marketing initiatives

- Own and manage key vendor relationships for the analytics group

- Partner closely with Product teams and IT development teams to build necessary project plans and workstreams to support the delivery of personalization objectives