Data Scientist I: Predictive Analytics & ML Insights

Jobtailor; Raleigh (NC); On-site; USD 95,000 - 120,000; Full time

Job summary

Truist is seeking a data scientist to perform advanced statistical and predictive analytics, building machine learning models and data visualizations that drive actionable business outcomes.

You will collaborate with business leaders to translate objectives into analytics solutions, work with structured and unstructured data using Python, SAS, and R, andown end-to-end delivery while adhering to risk management and governance standards.

Qualifications

• Bachelor's degree plus 0–4+ years in a quantitative field.
• Strong knowledge of statistics, probability, econometrics, time-series.
• Familiarity with linear algebra for optimization.
• Calculus/differential equations with understanding of stochastic processes.
• Data cleansing and preparation methodologies including regex and outlier treatment.
• Strong SQL/data extraction skills.
• Experience with Hadoop, Pig, Hive, NoSQL, Spark.
• Experience managing multiple projects with tight deadlines.
• Willingness to work overtime; up to 10% travel.
• English fluency.
• Master’s or PhD preferred; 4 years if no graduate degree.
• Previous banking/fintech experience preferred.

Responsibilities

• Perform statistical and predictive analytics and ML modeling to generate actionable insights.
• Consult with business leaders on analytics strategy and leveraging insights.
• Independently perform data analytics using econometrics, ML, neural nets, NLP on structured/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 objectives and scope solution requirements.
• Write, document, and deploy Python, SAS, R code for predictive analytics apps.
• Use and share code via Truist internal repositories.
• Research emerging data science methods and technologies.
• Apply risk management and governance for data usage and analytics capabilities.

Skills

Statistical Methods

Machine Learning

Data Visualization

Python Programming

SQL Data Extraction

Education

Bachelor's degree

Master’s degree or PhD (preferred)

Tools

Python

SAS

R

SQL

Hadoop

Pig

Hive

NoSQL

Spark

JQuery

Job description

Truist is seeking a data scientist to perform advanced statistical and predictive analytics, building machine learning models and data visualizations that drive actionable business outcomes.

You will collaborate with business leaders to translate objectives into analytics solutions, work with structured and unstructured data using Python, SAS, and R, andown end-to-end delivery while adhering to risk management and governance standards.