Data Scientist - Statistical Analyst - HOURLY

Key Skills

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

Job Description

Data Scientist - Statistical Analyst - HOURLY

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:

• Work within the team to understand the business requirements and goals
• 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 in a manner that they can leverage in their business
• Conducts statistical analyses to develop strategies
• Builds predictive models and machine-learning algorithms
• Identifies data patterns and trends
• Proposes solutions and strategies to business challenges
• Interprets data and analyze results using analytics, machine learning techniques, and statistical inference
• Documents all processes and research

DESIRED SKILLS QUALIFICATIONS:

Multiple positions are available. 

• 2-3 years of experience in statistical modeling and machine learning algorithms
• Experience in applying machine learning for pattern recognition
• Strong technical skills regarding data analysis, machine learning, and programming
• Strong working knowledge of Python, Java, SQL, and/or R
• Problem solving aptitude
• Able to multitask, prioritize, and manage time effectively
• Excellent communication skills

REQUIRED EDUCATION AND WORK EXPERIENCE:

• Bachelor’s/ Masters/Ph.D degree in statistics, computer science, mathematics, or another highly quantitative field

PREFERRED QUALIFICATIONS:

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