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2017-02-06 13:07:11
Responsibilities
Key Skills:
Senior Data Architect Loc: New York City, NY,
2017-02-06 13:07:11
Job Type:
Full Time only
Budget $: 100,000 - 200,000
Budget $: 100,000 - 200,000
Responsibilities
- 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.
- 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
- Familiarity with common APIs: SOAP, REST
Key Skills:
