Staff Data Engineer
Bazaarvoice
HadoopJavaKafkaMapReduceNoSQLScalaSpark
Data Scientist II
Truist
full-time
Posted on:
Origin: • 🇺🇸 United States • North Carolina
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
HadoopjQueryNoSQLPythonSparkSQL
About the role
- Perform advanced analyses utilizing multiple systems and databases to identify fraud patterns, mitigate risk, optimize decisioning strategies and minimize customer impact
- Partner with product, operations and technology teams to deliver real business impact
- Communicate with executive leadership and key stakeholders about risk observations and strategy performance
- Play significant roles in large-scale initiatives and act as a resource for teammates with less experience
- Independently perform sophisticated data analytics (classical econometrics to machine learning, neural networks, NLP) using structured and unstructured data
- Produce compelling data visualizations to communicate insights and influence outcomes
- Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
- Engage in stakeholder meetings to identify business objectives and scope solution requirements
- Independently write, document, and deploy custom code in Python, SAS, R, etc., and use internal code repositories
- Research and advocate adoption of emerging methods and technologies in data science
- Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices
Requirements
- Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
- Exhibit understanding of statistical methods, including classical statistics, probability theory, econometrics, time-series, and primary statistical tests
- Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
- Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
- Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
- Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
- Experience in managing multiple projects with tight deadlines in a collaborative environment
- Language Fluency: English (Required)
- Experience with Python, SAS, R (writing, documenting, and deploying custom code)
- Experience with statistical and predictive analytics, machine learning, neural networks, and natural language processing
- Experience with producing data visualizations to communicate insights
- Ability to engage stakeholders and communicate with executive leadership
- Ability to exercise sound judgment and partner on data governance and analytics capabilities
- Availability to work all hours scheduled, including overtime as directed; travel minimal up to 10%
- Sitting constantly; visual/audio/speaking requirements; manual dexterity/keyboarding
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