Data Scientist II

Truist Financial • Atlanta, GA

75d

About The Position

The position involves performing sophisticated analytics, including statistical and predictive analytics, and machine learning modeling, to provide actionable insights that improve business outcomes and minimize risk. The role also includes consulting with business leaders and stakeholders on leveraging analytics insights and building strategies around analytics.

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.
• Understanding of statistical methods, including classical statistics, probability theory, econometrics, time-series, and primary statistical tests.
• Familiarity with linear algebra concepts for optimization and complex matrix operations.
• Demonstrate understanding of data cleansing and preparation methodologies.
• Strong familiarity with data extraction in various environments (SQL, JQuery, etc.).
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark.
• Experience in managing multiple projects with tight deadlines in a collaborative environment.

Nice To Haves

• Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering.
• Four years of relevant work experience if candidate lacks a graduate degree.
• Previous experience in the banking or fin-tech industry.

Responsibilities

• Independently perform sophisticated data analytics using structured and unstructured data.
• Produce compelling data visualizations to communicate insights and influence outcomes among stakeholders.
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcomes.
• Engage in stakeholder meetings to identify business objectives and scope solution requirements.
• Independently write, document, and deploy custom code in various environments (Python, SAS, R, etc.) to create predictive analytics applications.
• Use, maintain, share, and collaborate through Truist internal code repositories.
• Research and advocate for the adoption of emerging methods and technologies in the data science field.
• Exercise sound judgment and foster a risk management culture throughout design, development, and deployment practices.

Benefits

• Medical, dental, vision, life insurance, disability, accidental death and dismemberment insurance.
• Tax-preferred savings accounts and a 401k plan.
• At least 10 days of vacation and 10 sick days during the first year of employment.
• Paid holidays.
• Potential eligibility for defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees