Cars.com is looking for a Data Scientist II to join the Marketing Data Strategy team.  The ideal candidate will be positive, a self-starter, have a strong passion for data and be a visionary for advanced analytical solutions.  This individual also needs to be creative and curious- constantly motivated to identify and understand the “why”.  As a member of the team, you will work on a variety of projects where you will have the opportunity to apply advanced analytics, data modeling and machine learning concepts to create recommendations and solutions to solve business challenges.  An ideal candidate would possess the ability to develop informed business logic, models and algorithms that help drive business strategies and decisions.  Beyond the data, this individual will be expected to not only identify how to use data in an effective way, but also build a relationship with your internal clients and present to non-analytic minded individuals with a high degree of professionalism.  This is an exciting opportunity to work with a great team of people and play a significant role in driving our business forward through data innovation.

On a Typical Day You Will:

• work with business partners to identify business opportunities and trends
• research and develop machine learning models
• collaborate with product, engineering and business teams to define and design algorithmic solutions and frame AB tests to evaluate them
• analyze stream of data to understand consumer behavior
• stay up-to-date with latest technology trends and apply advanced algorithms to improve customer experience and/or increase marketplace efficiency
• support all iterations of data driven product feature development from algorithm design, production implementation to experimentation and measurement
• publish research articles on science and innovations
 

Deep understanding of machine learning and data mining techniques (decision trees, probability networks, association rules, clustering, regression)
Strong working knowledge of high level programming languages (Python)
Proficient in R or other math packages (MATLAB, SAS, etc.)
Experience with distributed computing such as Hadoop and Spark (nice to have)
Familiarity with database modeling and data warehousing principles with a working knowledge of SQL
Ability to communicate complex concepts in easy to understand terminology, and effective communication skills across multiple levels of the organization, including management and cross functional teams
Solid experience solving analytical problems using quantitative approaches, drawing from solid background in mathematics and statistics
 

• MS in statistics, econometrics, machine-learning, applied mathematics or related quantitative field OR BS + relevant work experience
• strong coding skills in python/R/scala/julia and knowledge of oop and functional programming
• experience with relational databases / SQL
• understanding AS3, HDFS, Hbase, or other non-relational DB
• ability to present your work to executives in a concise and effective way

• 2-3 years of relevant work experience
  
• experience in Personalization, Search, Operations Research or a related field
  
• hands on experience with large scale data processing software and tools (Hadoop, Spark, MapReduce etc)