Data Scientist II – Fraud Reporting

Jobtailor; Charlotte (NC); On-site; USD 110,000 - 170,000; Full time

Job summary

Truist in Charlotte, NC seeks a data scientist to independently perform sophisticated analytics using econometrics, machine learning, neural networks, and NLP on structured and unstructured data. You will own end-to-end data science solution design, technical delivery, and measurable business outcomes.

You will communicate insights with compelling data visualizations, engage stakeholders to define objectives, and write/deploy Python, SAS, and R code.

Qualifications

• Bachelor's degree and four or more years of experience in a quantitative field.
• Understanding of statistical methods, statistics, probability, econometrics, time-series tests.
• Familiarity with linear algebra for optimization and PCA.
• Calculus/differential equations and stochastic processes understanding.
• Data cleansing and preparation methods including regex and outlier treatment.
• SQL data extraction and experience with JQuery or similar tools.
• Experience with Hadoop, Pig, Hive, NoSQL, and/or Spark.
• Experience managing multiple projects with tight deadlines.
• English language fluency.
• Preferred: Master's or PhD in a quantitative field.
• Preferred: Banking or fintech industry experience.
• Truist will not sponsor work visas or immigration-related support.

Responsibilities

• Perform sophisticated data analytics using econometrics, ML, NN, and NLP on structured/unstructured data.
• Produce compelling data visualizations to communicate insights and influence outcomes.
• Own end-to-end data science solution design, delivery, and business outcomes.
• Engage stakeholders to identify objectives and scope solution requirements.
• Write, document, and deploy Python/SAS/R code for predictive analytics applications.
• Use, maintain, and collaborate through Truist internal code repositories.
• Research and advocate adoption of emerging methods and technologies.
• Promote risk management throughout design, development, and deployment.
• Partner with cross-functional teams on data usage rules and governance.
• Provide actionable insights to improve business outcomes and minimize risk.
• Consult with business leaders on leveraging analytics insights and developing strategies.

Skills

Data Analytics

Machine Learning

Python Programming

Statistical Methods

Data Visualization

Stakeholder Engagement

Collaboration

Project Management

Communication

Education

Bachelor's degree

Master's degree

PhD (preferred)

Tools

SAS

R

Truist Code Repositories

JQuery

NoSQL

Spark

Job description

• Independently perform sophisticated data analytics using classical econometrics, machine learning, neural networks, and natural language processing on structured and unstructured data
• 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 promote risk management throughout design, development, and deployment
• Partner with cross-functional teams on data usage rules, data governance, and analytics capabilities
• Provide actionable insights to improve business outcomes and minimize risk
• Consult with business leaders and stakeholders on leveraging analytics insights and developing analytics strategies

Requirements

• Bachelor's degree and 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, classical statistics, probability theory, econometrics, time-series, and primary statistical tests
• Familiarity with linear algebra for optimization, complex matrix operations, eigenvalue decompositions, and principal components
• Working knowledge of calculus/differential equations and 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 SQL, JQuery, and other environments
• 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
• Preferred: Master's degree or PhD in a quantitative field
• Preferred: Previous banking or fintech industry experience
• Truist will not sponsor work visas, employment authorization, or immigration-related support for this position

Core Competencies

Demonstrates expertise in data analytics, including classical econometrics, machine learning, and natural language processing, while effectively communicating insights through data visualizations. Proficient in Python, SAS, R, and SQL, with a strong understanding of statistical methods and data governance.

Highest-signal resume keywords

• Data Analytics
• Machine Learning
• Python Programming
• Statistical Methods
• Data Visualization

ATS Optimization Keywords

Hard Skills

• Econometrics
• Natural Language Processing
• Predictive Analytics
• Data Cleansing
• Statistical Tests
• Linear Algebra
• Calculus
• SQL
• Hadoop
• Data Governance

Soft Skills

• Stakeholder Engagement
• Collaboration
• Project Management
• Communication

Industry Keywords

• Banking
• Fintech
• Quantitative Analysis

Tools & Technologies

• SAS
• R
• Truist Code Repositories
• JQuery
• NoSQL
• Spark