Director, Data Science and Analytics

• Explore big data to surface Insights to inform major product and business decisions
• Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition and sentiment analysis
• Analyze and model structured data using advanced statistical methods
• Process data in large-scale environments
• Attract, select, develop, motivate, train and retain a team of high performing data science professionals
• Interface with multiple business units to help us grow analytics as a competitive business advantage and as a center of excellence within the business
• Select and manage relationship with outsourced analytics provider to augment staff as needed from time to time
• Manage day-to-day operations, including staffing, scheduling, and prioritization of engagements
• Lead the definition of processes and procedures to enable the team execute efficiently and the product ingest data optimally
• Identify data partners, both internal and external, to gather the data to build the best in class data solutions
• Provide sales support and enable the team sell bigger and better and provide metrics to justify the customer spend
• Be an evangelist and market the solution by promoting the value of the product from a data perspective using white papers, presentations, etc.
• Build a performance driven culture with a strong foundation of intellectual curiosity

• Masters degree applied statistics, mathematics, econometrics, or other discipline related to Time-Series Analysis, Machine Learning, or Forecasting, or its equivalent
• 10 years of relevant experience in data sciences and technology management, to include deploying predictive models into production
• Knowledge, Skills and Abilities
• Demonstrated ability to work with clients, products, and services across multiple industries
• Demonstrated performance in managing big data projects such as - MapReduce, Hadoop, HPCC
• Demonstrated proficiency in growing and managing a data sciences team
• Proficiency in managing in an Agile environment.
• Strong organizational, analytical, and problem-solving skills

All your information will be kept confidential according to EEO guidelines.