Senior Data Scientist

  • 37548
  • Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Jun 12, 2020
Insurance
RESPONSIBILITIES
  • Partner with the Director to shape the vision for Data Science at the business unit by implementing and utilizing best practices and technologies;
  • Build out framework for data storage and analysis for the Business Unit;
  • Create and/or oversee predictive analytics to test the Business Units direction and decision making;
  • Leverage advanced techniques to develop and deploy predictive models for pricing and underwriting purpose. Deploy and disseminate tools, techniques and products that extend our capabilities and deliver new business value;
  • Develop a deep understanding of current and potential customers and translating that understanding into actionable insights that drive business performance;
  • Provide expertise in data science, machine learning, artificial intelligence, software engineering;
  • Work with internal senior leaders and business partners to identify key areas for Data Science to impact customer experience and demand generation across domains that include sales force, marketing and website;
  • Create and align on a roadmap to execute against the priorities;
  • Research and recommend data science solutions for improved effectiveness and delivery of demand generation initiatives for the business unit;
  • Direct the design, development, and delivery of data science initiatives;
  • Partner with internal senior leaders to ensure these business initiatives are executed with optimal chance of success and adoption;
  • Advocate for Data and Analytics and champion change, driving adoption across business units and functions;
  • Lead the delivery of priority initiatives each year, acting as a SME;
  • Develop and own the data strategy and plan for the Business Unit;
  • Define data foundations, architecture, governance, and data management practices for the Business Unit;
  • Identify business problems, that if remedied, will return significant value using data in partnership with data owners and advisors;
  • Cultivate relationships to help with the determination of root-cause data quality problems, resolve problems & opportunities to drive significant data quality improvements across the company;
  • Work with large datasets (millions of records & thousands of variables) to create clean, consistent and fully modeled data knowledge;
  • Understand and leverage datasets stored across 300+ systems to profile them and determine data quality remediation plans;
  • Utilize data management tools such as: IGC, IA, stewardship centre, data modelling, database knowledge and tools, data modelling, data architecture, visualization tools, and regular expressions to create data intelligence for the business unit and the organization as a whole.
QUALIFICATIONS
  • Ph.D/MS in Computer Science, Statistics, Applied Math;
  • 5+ years of experience in Data Science/Analytics, Engineering and product management;
  • Experience with R or Python is required. Background in programming in C, C++, Java is beneficial;
  • Experience in different AI applications, e.g. NLP, marketing, image recognition, etc.;
  • Experience working with large data sets, simulation/optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.);
  • Experience working in startup environment or organizations with an agile culture;
  • Professional attitude and service orientation; superb team player;
  • Strong written and verbal communication skills along with strong desire to work in cross-functional teams;
  • Strong problem-solving skills to mature data governance, data management, and data architecture across the Business Unit;
  • Able to build a sense of trust and rapport that creates a comfortable & effective workplace; Attitude to thrive in a fun, fast-paced environment.