Algorithms, Analytical Techniques, Apache Hadoop, AWS, Data Mining, ETL/ELT technologies, Linux Operating system, Logistic Regression, Machine learning techniques, Markov models, Neural Networks, Optimization, Predictive analytics, Price recommender, Python Programming, R Programming, Recommendation Systems, SQL, Statistical modeling, Vector CANalyzer
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 are desired. Strong communication and interpersonal skills will also be critical to your success. This is a 6 - 9 month internship with the possibility of an extension and/or salary based on performance, job requirements, and availability of the selected candidate.
Department: Technology
Reports to: Vikas Wadhwa,
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:
DESIRED SKILLS QUALIFICATIONS:
Multiple positions are available.
REQUIRED EDUCATION AND WORK EXPERIENCE:
PREFERRED QUALIFICATIONS:
Digital Factory is a mobile technology company that delivers deep strategic insights for mobile engagements, develops leading-edge geolocation technology that integrates into a brand’s mobile app to enable micro-messaging and increases consumer engagement and path to purchase.
Chicago, IL, USA
2-4 year