Data Scientist - Phoenix, United States - People, Data & Solutions

Description

• Build and maintain forecasting & pricing models
• Deploy sophisticated analytics programs, machine learning and statistical methods
• Prepare data for predictive and prescriptive modeling
• Analyze large amounts of data to find patterns
• Build, develop and maintain mathematical models, reporting systems, data automation systems, dashboards, and performance metrics
• Identify ways to improve data reliability, efficiency, and quality
• Collaborate with business and IT teams
• Deliver updates to stakeholders in a clear manner and based on analytics
• Design and build technical processes to address business issues

• 8-10+ years of experience
• Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
• Working knowledge of data mining principles: predictive analytics, mapping, collecting usable data from multiple data systems on premises and cloud-based data sources.
• Proficiency with common ML models such as Deep Learning, Logistic Regression, Decision Tree, Random Forest, XGBoost, FacebookProphet
• Reinforcement Learning for price optimization
• Proficiency working in an AWS environment with Sagemaker notebook and building/deploying ML models and pipeline
• Ability to build mathematical models using OR techniques
• Familiarity with CPLEX, PyTorch, TensorFlow, ETL tools is a plus
• Experience working with Scikit-Learn, or Spark ML
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Strong problem solving, quantitative and analytical abilities.
• Excellent communication, collaboration, and delegation skills.
• Knowledge and experience with DevOps and Agile methodologies a plus.
• Knowledge/experience in the Hospitality Industry a plus.

We encourage everyone to apply - even if every box isn't checked for what you are looking for or what is required.