Working in EDM Data Architect Strategy and Delivery organization, the Senior Data Scientist will work with data teams to evolve machine learning and data scientist capabilities within the bank.
Within that charter, primary responsibility will be to define strategies and parameters for predictive models and data mining projects, ensuring data integrity and usability.
Designing and building data-driven solutions, this role is expected to be comfortable with acquiring a variety of programming languages and machine learning techniques.
This role is also expected to possess business strategy skills to apply these techniques and build the algorithms necessary to ask the right questions and find the right answers.
Applying big data/advanced analytics to identify and exploit insights with positive business impact
Work closely with service and improvement teams to analyze data and identify/answer important questions to assess user experience, quality and performance by defining measures specific to these and other areas
Create key performance indicator (KPI) calculationsStructure data for ingestion into visualization tools
Answer questions by using appropriate statistical techniques on available data
Communicate findings to various levels of management.
Required Skills
5+ years of enterprise data analytics
A BSc, MSc or PhD in a relevant field (mathematics, statistics, computer science, artificial intelligence, machine learning, predictive analytics, data science, natural language processing, computational linguistics or similar)
OR relevant work experience working with statistics, machine learning, statistical modeling and/or natural language processing algorithms in a data science, quantitative analyst, scientific researcher or related role
Understanding of data storage technologies: relational databases/SQL, XML, JSON, etc
Experience processing large structured or unstructured datasets
Strong quantitative and analytical skills
Knowledge of Hadoop, Spark, Hive or Pig, or other distributed computing platform
Cloud architecture and infrastructure: Amazon Web Services (S3, EC2, EMR, etc.)
Data visualization/infographics: QlikView, JasperSoft, Tableau, etc
