Director, Data Science and Analytics

vor 1 Monat

München, Deutschland The Weather Channel Vollzeit

At WSI, weather means business. We are the world's leading provider of weather-driven business solutions that enable enterprises to make better decisions using the most accurate, precise and resolute weather data available. We serve some of the world's biggest brands in the aviation, energy, insurance, and media markets, plus multiple federal and state government agencies.

Based on growth and expansion in analytics we are searching for a leader to build WSI’s capabilities in the data sciences, working closely with leaders across the company to build a variety of models, recommenders, and algorithms used by WSI customers to make critical weather related business decisions. You’ll connect with stakeholders across multiple verticals (Aviation, Energy, Retail, Insurance, Logistics) identifying opportunities to extract value from datasets and solve focused analytical problems. We are a community of engineers, data scientists, and statisticians, and are looking to add to our growing team. Weather is one of the largest global datasets. We produce Petabytes a year of weather information. Every day our customers make critical decisions based on the weather.

OUR IDEAL CANDIDATE:

  • Has considerable and highly relevant experience in data sciences and technology management - putting predictive models into production for B2B clientele, and building and managing a best in class data sciences group
  • Is excited about extremely large datasets and using them to add value to society
  • Relishes devising and executing strategies and roadmaps and getting buy-in from stakeholders and senior leadership
  • Is very comfortable interfacing with senior level clients to evangelize our solutions
Job Description
  • 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
Qualifications
  • 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
Additional Information

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

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