Data Scientist

About Us:

With over 20 years of experience, CJ is the most trusted and established name in affiliate marketing. Since being founded in Santa Barbara, California in 1998, we have been passionate about driving intelligent growth for our clients.

Located across 14 offices worldwide, our employees are dedicated to delivering innovative solutions and strategies designed to drive big results. We dig deep and tackle the tough questions for our clients. As part of Publicis Groupe, One of the largest marketing and communications companies in the world and CJ is aligned within its media hub Publicis Media (PMX), our access to unparalleled data allows us to offer a truly customer-centric approach to affiliate marketing.

For more information, visit [https://www.cj.com/>. Follow us on LinkedIn at @CJ

Why we are looking for you:

• You have experience in Data Science & Analytics domain
• You excel at problem solving for Internal Business Stakeholders and our Clients
• You have strong experience of DS scripting languages (Python) & BI solutions (Tableau)
• You have experience working on distributed framework and have handled Big data
• You are eloquent communicator both in verbal and written communication

What you will enjoy in this role:

• As part of Data science team, you will get to ideate-build-deploy data science & analytics capabilities for business and clients, end to end.
• Work in Digital Marketing, and support clients across industries (Retail, CPG, Travel, Finance and more)
• Work with Big Data and related platforms (Pyspark, Scala, SQL)
• Work in an environment that leverages your strengths and motivate and challenge you to take on more skills
• Work directly with Business Stakeholders across different departments (Product, Client Support, Sales and more)

What you will do:

• Draw prescriptive and predictive insights from data and provide consultation to business
• Work directly with Business stakeholders to solve Client’s problems
• Be part of a tenured data science team and collaborate on best practices
• Manage timelines of projects and priorities

Requirements

• Bachelor’s degree in a quantitative discipline (e.g., data science, statistics, economics, mathematics, computer science) or significant relevant coursework/experience
• 2+ years professional experience in the field of data science or business intelligence
• Demonstrated proficiency in PYTHON/SCALA/SQL and BIG DATA technologies and the proven ability to program in big data/cloud technologies such as AWS & SPARK; minimum 2 years of experience
• Experienced in Machine Learning algorithms such as logistic regression, linear regression, lasso regression, k-means, random forest; minimum 1 year of experience
• Able to draw actionable insights and recommendations leveraging BI tools such as Tableau/PowerBI