Truist

Data Scientist 1 – Data Engineer

Truist

full-time

Posted on:

Location Type: Office

Location: Charlotte • North Carolina • United States

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Tech Stack

HadoopjQueryNoSQLPythonSparkSQL

About the role

  • Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
  • Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
  • 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.
  • With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
  • Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
  • Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.
  • Exercise sound judgment and fosters risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.

Requirements

  • Bachelor’s degree and zero to 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 a broad understanding of 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
Benefits
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability
  • Accident insurance
  • 401k plan
  • 10 days of vacation
  • 10 sick days
  • Paid holidays
  • Possible pension plan, restricted stock units, or deferred compensation plan
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsmachine learningneural networksnatural language processingPythonSASRstatistical methodsdata cleansingdata preparation
Soft Skills
accountabilityownershipstakeholder engagementcommunicationcollaborationjudgmentrisk managementproject management