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Data Scientist I
TruistData Scientist I applying statistical modeling, machine learning, and predictive analytics at Truist Financial. Delivering data-driven insights, visualizations, and solutions for business outcomes and risk management.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical and predictive analytics, machine learning, and data visualization to drive actionable insights and business outcomes. Proficient in coding with Python, SAS, and R, while applying risk management practices and collaborating on data governance.
Highest-signal resume keywords
Statistical MethodsMachine Learning ModelingData VisualizationPython ProgrammingSQL Data Extraction
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Statistical MethodsPredictive AnalyticsMachine LearningEconometricsData CleansingData PreparationLinear AlgebraCalculusTime-Series AnalysisNatural Language Processing
Soft Skills
CollaborationConsultationProject ManagementStakeholder EngagementCommunication
Tools & Technologies
PythonSASRSQLHadoopPigHiveNoSQLSparkJQuery
Industry Keywords
Data ScienceBankingFintechQuantitative AnalysisRisk Management
Tech Stack
Tools & technologiesHadoopjQueryNoSQLPythonSparkSQL
About the role
Key responsibilities & impact- Perform sophisticated statistical and predictive analytics and machine learning modeling to provide actionable insights
- Provide consultation to business leaders and stakeholders on leveraging analytics insights and developing analytics strategies
- Independently perform data analytics using econometrics, machine learning, neural networks, and natural language processing on structured and unstructured data
- 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 collaborate on data usage, 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 environments such as 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
- Minimal travel, up to 10%
- English language fluency required
- Master’s degree or PhD in a quantitative field (preferred)
- Four years of relevant work experience if lacking a graduate degree (preferred)
- Previous banking or fintech industry experience (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 (prorated)
- 10 sick days (prorated)
- Paid holidays
- Defined benefit pension plan (position/division dependent)
- Restricted stock units (position/division dependent)
- Deferred compensation plan (position/division dependent)