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Data Scientist

Catalyst USAOF, Inc.
Charlotte, North Carolina, United States
March 21, 2017

Role Description:

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

Basic Requirements:

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

Job Location:

Charlotte, NC

Required education:


Required experience:

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