We are looking for a Lead Marketing Data Scientist to partner with our clients to aid them in better using their marketing data. Our ideal candidate should have a deep understanding of consumer behavior analysis, customer segmentation, predictive modeling and a working knowledge of digital and traditional media campaigns.
Your role will be mix of high-end strategic consulting as well as hands-on delivery along with your team. You will be requested to run white-boarding workshops to help develop vision around value of analytics to our clients. You may also be requested to run Analytics Strategy and Roadmap exercises as well as use-case definition/design and prioritization efforts.
Candidate must also have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Lead role in our very fast growing Data Science team from marketing analytics perspective
Develop and communicate a deep understanding of client marketing needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark)
Design experiments to maximize insights while minimizing error
Create insights from digital (e.g. email, display) and traditional (DM, Television, Radio) marketing
Work with cross-functional teams (including Marketing, Product Management, Engineering, Design, Creative, and senior executives) to rapidly execute and iterate
5+ years with relevant Marketing / Data Science experience
2+ years as Senior/Lead Data Scientist
Proven record of successful statistical product delivery
Deep understanding of marketing sciences techniques such as propensity modeling, segmentation, media mix modeling, customer 360, etc.
Ability to execute marketing science techniques via statistical applications such as R or Python (Sci-Py, Orange, etc.)
Significant experience with SQL and working with large datasets required
Strong verbal and written communication skills
MS / PhD in quantitative field a plus
Job Type: Full-time
Salary: $120,000.00 /year
SQL: 3 years
Senior/Lead Data Scientist: 5 years
Marketing Science: 3 years
Consulting: 1 year
R: 3 years
Required license or certification:
Authorization to work in the U.S without sponsorship
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