technology that transforms mobile

Chief Data Analyst

WANT TO JOIN OUR TEAM?
WE CAN't WAIT.

JOB DESCRIPTION
We are looking for an experienced Data Analyst that will work with the Research/Development teams to provide insights into mobile data captured and translate those into recommendations for our Digital Marketing team and clients. The scientist will also work with the engineering teams to drive the development of predictive analytics software enhancements to automate the processing of captured data, generate recommendations and produce reports. These tools will be used by businesses and brands to further understand and influence the way consumers interact with their mobile apps. Previous experience and/or proven interest in artificial intelligence, machine learning, data mining, natural language processing, predictive analysis etc. are desired. Strong communication and interpersonal skills will also be critical to your success.

Reports to: Adrian Delancy, Technology
Location: Chicago, Illinois
WHO WE ARE

Our team's digital inventiveness and mobile location expertise creates brand stories that produce results. We are seasoned professionals who have worked in marketing, technology, mobile, and beyond. Our skills include Micro-fencing, mobile strategy, data analytics, and more.

THIS POSITION WILL ENTAIL:
  • Work with Digital Marketing team to engage clients and understand the business requirements and goals.
  • Lead the development of tools to collect, validate, manipulate and perform exploratory data analysis tasks on analytical data sets.
  • Lead the development of predictive analytics models and advanced recommender systems
  • Communicate newly discovered insights based on analysis to the clients in a manner that they can leverage in their business.
DESIRED SKILLS & QUALIFICATIONS:

Minimum Requirements:

  • 3+ years of experience in statistical modeling and machine learning algorithms
  • Experience solving real problems using data mining techniques and with statistical rigor
  • Masters, PhD, or equivalent experience in a quantitative field (computer science, physics, mathematics, engineering, bioinformatics, etc.)
  • Strong technical skills regarding data analysis, machine learning and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
  • Excellent communication skills; the ability to convey complex analysis results clearly and with conviction to all levels of stakeholders

Preferred Qualifications:

  • Prior experience with standard ML models: Logistic Regression, Support Vector Machines, Neural Networks, Hidden Markov Models etc…
  • Experience implementing a real-world Recommender or Ranking system
  • Worked with the Hadoop Ecosystem
  • Implemented multi-core/distributed software, preferably in a Linux environment
  • Experience working with Amazon Web Services


Digital Factory is an Equal Opportunity Employer
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