Data Scientist I

Truist

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

Posted 9/29/2026full-timeRemote • North Carolina • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, including statistical methods, machine learning, and data visualization, while effectively collaborating with stakeholders to deliver impactful data science solutions. Proficient in programming languages such as Python, SAS, and R, with a strong understanding of data governance and analytics capabilities.

Highest-signal resume keywords

Data AnalyticsMachine LearningStatistical MethodsPython ProgrammingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalyticsPredictive AnalyticsNatural Language ProcessingEconometricsData CleansingSQLHadoopPigHiveSpark

Soft Skills

CollaborationStakeholder EngagementProject Management

Tools & Technologies

Truist Internal Code RepositoriesJQuery

Industry Keywords

BankingFintechQuantitative FieldData Governance

Tech Stack

Tools & technologies

HadoopjQueryNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

Perform sophisticated data analytics, including statistical analytics, predictive analytics, machine learning, neural networks, natural language processing, and econometrics
Use structured and unstructured data across a variety of environments
Produce compelling data visualizations to communicate insights and influence stakeholder 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 sound judgment and risk management throughout design, development, and deployment
Partner with cross-functional teams on data usage rules, data governance, and analytics capabilities

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
English language fluency required
Ability to work all scheduled hours, including overtime as directed
Minimal travel, up to 10%
Master’s degree or PhD in a quantitative field is preferred
Four years of relevant work experience if candidate lacks graduate degree is preferred
Previous banking or fintech industry experience is preferred

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 (prorated)
Paid holidays
Potential eligibility for a defined benefit pension plan
Potential eligibility for restricted stock units
Potential eligibility for a deferred compensation plan