Data Scientist I

Truist

. Perform sophisticated data analytics, including statistical analytics, predictive analytics, machine learning, neural networks, econometrics, and natural language processing .

Posted 10/8/2026full-timeRaleigh • North Carolina • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, including statistical methods, predictive analytics, and machine learning, while effectively communicating insights through data visualizations. Proficient in Python, SAS, and R for developing predictive applications and managing data governance practices.

Highest-signal resume keywords

Data AnalyticsPredictive AnalyticsMachine LearningPython ProgrammingStatistical Methods

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalyticsPredictive AnalyticsMachine LearningNatural Language ProcessingData VisualizationData CleansingSQLHadoopSASR

Soft Skills

ConsultationCollaborationProject Management

Tools & Technologies

Truist Internal Code RepositoriesJQueryPigHiveNoSQLSpark

Industry Keywords

EconometricsData GovernanceRisk ManagementQuantitative AnalysisData Science

Tech Stack

Tools & technologies

HadoopjQueryNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Perform sophisticated data analytics, including statistical analytics, predictive analytics, machine learning, neural networks, econometrics, and natural language processing
Provide actionable insights to improve business outcomes and minimize risk
Consult with business leaders and stakeholders on leveraging analytics insights and developing analytics strategies
Produce data visualizations to communicate insights and influence outcomes
Own end-to-end data science solution design, technical delivery, and measurable business outcomes
Engage stakeholders to identify business objectives and scope solution requirements
Write, document, and deploy custom code in Python, SAS, R, and other environments to create predictive analytics applications
Use, maintain, share, and collaborate through Truist internal code repositories
Research and advocate adoption of emerging data science methods and technologies
Apply risk management practices and coordinate data usage, data governance, and analytics capabilities with cross-functional teams

Requirements

What you’ll need

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
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
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, including SQL and JQuery
Working knowledge of Hadoop, Pig, Hive, NoSQL, and/or Spark
Experience managing multiple projects with tight deadlines in a collaborative environment
Ability to work all scheduled hours, including overtime as directed and required by business need
Minimal travel, up to 10%

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Accidental death and dismemberment coverage
Tax-preferred savings accounts
401k plan
At least 10 days of vacation during the first year of employment (prorated)
10 sick days during the first year of employment (prorated)
Paid holidays
Defined benefit pension plan (depending on position and division)
Restricted stock units (depending on position and division)
Deferred compensation plan (depending on position and division)