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Personal Banking
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HEA002074 Requisition #

Job Title: Lead Data Scientist 

Department: Digital

 

Job Purpose: 

  • You will advocate, evangelize and build data-fuelled products that help our customers improve their relationship with FAB. You will dig in and become an expert on our financial services datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.

Key Requirements:

  • Minimum 10+ years of experience delivering world-class data science outcomes, solving complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills.

  • You have a Ph.D. or Master’s Degree in Operations Research, Applied Statistics, Data Mining, Machine Learning, Physics or a related quantitative discipline. You have a deep understanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.

  • You’re passionate about asking and answering questions in large datasets, and you are able to communicate that passion to product managers and engineers. You have a keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data. You propose analytics strategies and solutions that challenge and expand the thinking of everyone around you.

  • You are expert in analyzing large, complex, multi-dimensional datasets with a variety of tools. You are accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. You have experience with BI tools such as Tableau and Microstrategy. You’re as comfortable with relational databases as you are with Hadoop-based data mining frameworks. You are familiar with SQL, Python, Java and C/C++.

  • You desire a fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics.

     

    Summed up, you have:

  • Problem solving skills

  • Knowledge of machine learning techniques

  • Knowledge of statistical techniques and concepts

  • Coding knowledge and experience with languages like C, C++, Javascript

  • Knowledge of database querying

  • Experience with web services like Spark, DigitalOcean, etc.

  • Excellent communication skills to coordinate between different levels of the organization and different teams

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