Marketing Data Scientist

Job ID: 23-05688

Pay rate range - $75/hr. to $78/hr. on W2

Looking for a Data Scientist that has Customer Segmentation (Marketing).

*may act as a liaison with the data team in India, so there may be an opportunity to jump on meetings and work later in the evening.

This candidate will work with the Data Analytics team to develop a customer segmentation work stream.

This will entail helping the business go deeper into customer insights to understand their key retention and attrition drivers. Sharing those insights back to the marketing team to help the marketing team develop customer retention campaigns.

* *This candidate will be the only person in the world doing what they will do.

While they will have ppl around them who can help give them feedback on the data they are finding but this person will not be joining a team of Data Scientists.

This will be a net new scope. Due to this the team is looking for someone with a lot of experience who can come in from a head-down standpoint drive on their one with a data team they can leverage and a marketing team they can collaborate with.

Yrs Exp: 5-7 yrs min

Industry Preference:

• If they have retail great but it not mandatory

REQUIRED SKILLS

• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with forecasting and statistical analysis
• Experience with data modeling, warehousing and building ETL pipelines
• Strong writing, presentation and communication skills

PREFERRED SKILLS

• Customer lifetime value or Economic value experience would be a plus
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets
• Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience in building ML models to solve practical problems