Data Scientist I: Predictive Analytics & Business Insight

Truist Financial Corporation; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

Dental and vision insurance

401k plan

Paid vacation and sick leave

Job summary

Truist Financial Corporation in Atlanta, GA seeks a data science professional to perform advanced analytics and deliver actionable insights. You will build predictive models, visualize results, and guide business leaders on analytics-driven strategies.

The role requires strong statistics, econometrics, and programming in Python/R, plus experience with data extraction and data governance considerations. Regular, on-site work with potential for cross-functional collaboration.

Qualifications

• Bachelor’s degree in a quantitative field or related discipline.
• Strong grasp of statistical methods, econometrics and time-series analysis.
• Experience in data cleansing, regex, filtering and outlier handling.
• Proficient in data extraction with SQL and scripting languages.

Responsibilities

• Independently perform sophisticated data analytics across structured and unstructured data.
• Create compelling visualizations to communicate insights to stakeholders.
• Own end-to-end data science solution design and delivery.
• Engage with stakeholders to align objectives and scope solutions.
• Write and deploy predictive analytics code in Python, SAS, or R.
• Collaborate via internal repositories to share learnings.
• Explore emerging methods and technologies to advance capabilities.
• Apply risk-aware practices in design, development, and deployment.

Skills

Statistics

Econometrics

Machine learning

Python

R

SQL

Regex

Data cleansing

Time-series

Data visualization

Stakeholder communication

Project management

Python libraries

Education

Bachelor's degree

Master's or PhD (preferred)

Tools

SQL

JQuery

Hadoop

Pig

Hive

NoSQL

Spark

Job description

Truist Financial Corporation in Atlanta, GA seeks a data science professional to perform advanced analytics and deliver actionable insights. You will build predictive models, visualize results, and guide business leaders on analytics-driven strategies.

The role requires strong statistics, econometrics, and programming in Python/R, plus experience with data extraction and data governance considerations. Regular, on-site work with potential for cross-functional collaboration.