Data Scientist - Analyst - HOURLY

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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, and predictive analysis are desired. Strong communication and interpersonal skills will also be critical to your success. 3-12 months, full time

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:

Our client work regularly requires a data analyst for data sources and processing schemes by identifying sources, gaps, requirements, and analytical performance. This includes:

Acquiring and categorizing datasets from all current sources.
Investigating current source gaps and modeling processes.
Collaborating with Data Sciene team and business SMEs on current analysis tools, processes, and techniques.
Understanding, interpreting, and creating gap-analysis on the current data warehousing design and ETL processes.
Clean, aggregate, and organize data from disparate sources and transfer to centralized data warehousing.
Design and build ETL processing for legacy/incomplete sources.
Design and build updated data source documentation.
Identify reporting performance expectations and optimization paths.
Collect, validate, manipulate and perform exploratory data analysis tasks on analytical data sets
Develop predictive analytics models and advanced recommender systems
Communicate newly discovered insights based on analysis to the team

DESIRED SKILLS QUALIFICATIONS:

3-5 years of experience in data analysis and/or datawarehousing ETL environments
Problem solving aptitude
Able to multitask, prioritize, and manage time effectively
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

REQUIRED EDUCATION AND WORK EXPERIENCE:

1 – 2 years of experience in statistical modeling and machine learning algorithms
Experience solving real problems using data mining techniques and with statistical rigor
Bachelors, Masters, Ph.D. or equivalent experience in a quantitative field (computer science, physics, mathematics, engineering, bioinformatics)

PREFERRED QUALIFICATIONS:

Prior experience with standard ML models: Logistic Regression, Support Vector Machines, Neural Networks, and Hidden Markov Models
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