Data Science Consultant

Data Science Consultant

Requirements

• Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Management Information Systems, Finance or Economics
• 3 years related work experience
• Working knowledge of statistics and predictive modeling
• Working knowledge of code writing and programming
• Understanding of and ability to use programming languages for predictive modeling, like Python, R or SAS
• Understanding of and ability to use scripts like SQL (Structured Query Language) and / or Hive for accessing and wrangling data.

Responsibilities

• Partner with Business Clients, establish professional relationship, and communicate with analytics clients in order to understand business needs
• Frame Problems with Stakeholder, research and construct problem frames in order to understand the analysis context and scope that will provide timely, useful results
• Work in Project Teams and participate in multidisciplinary analytics project teams
• Interview Subject Matter Experts, plan and conduct individual interviews with experts to gain valid information and data needed for analysis
• Elicit Information from Groups, plan and conduct group elicitation sessions with working groups to develop and assess alternatives, uncertainties, and value and risk preferences
• Communicate Results to Decision Makers, explain the Results and conclusions of the analytics process in both written and oral presentation formats
• Create recommendations that are practical, actionable, and have material impact, in addition to being well-supported by analytical models and data
• Identify unique opportunities to collect new data
• Design new processes and build large, complex data sets
• Strategize new uses for data and its interaction with data design
• Locate new data sources, analyze statistics and implement quality procedures
• Perform data studies of new and diverse data sources
• Find new uses for existing data sources
• Conduct statistical modeling and experiment design
• Develop, test, validate and refine predictive models to optimize customer experiences, revenue generation, operational effectiveness, marketing success and other business outcomes
• Build web prototypes and performs data visualization
• Conduct scalable data research on and off the cloud
• Implement automated processes for efficiently producing scale models
• Design, modify and build new data processes
• Generate algorithms and create computer models
• Collaborate with database engineers and other scientists
• Implement new or enhanced software designed to access and handle data more efficiently
• Train the data services center team on new or updated procedures
• Assist with code review and quality assurance activities
• Document and archive models and scripts to enable ongoing support.

Preferred Qualifications

• Masters degree in Mathematics or Statistics
• Mastery of statistics, machine learning algorithms and advanced mathematics
• Strong knowledge of basic and advanced predictive models
• Knowledge of electricity and natural gas utility business model and operations
• Basic knowledge of Linux command line interface
• Basic knowledge of cloud platform tools and techniques
• Basic knowledge of Hadoop ecosystem, including tools for data mining and analytics, including Sqoop, Hive, Pig, Spark and/or Scala
• Experience with SAP HANA for predictive analytics
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Data mining knowledge that spans a range of disciplines
• Strong exploratory analysis skills
• Excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management
• Exceptional organizational skills and is detail oriented
• Capable in using visualization tools to deliver results