Data Scientist II

Truist • Atlanta, GA

1d

About The Position

The Data Scientist II independently extracts, analyzes, and interprets complex data to identify fraud risks and produce actionable insights. The role calls for an understanding of fraud typologies and investigative techniques, including link analysis, as well as creative problem-solving and the ability to design and implement scalable, automated processes that improve fraud detection and mitigation.

The position translates complex analytical findings into clear, compelling narratives for senior leadership, influences decision-making, and recommends strategic solutions. It owns data science solutions from design through technical delivery and measurable business outcomes, partnering with stakeholders and cross-functional teams on requirements, data governance, data usage, and analytics capabilities. The role also researches and promotes emerging methods and technologies to advance Truist’s data science capabilities.

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, including 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 and differential equations, with understanding of stochastic processes.
• Understanding of data cleansing and preparation methods, including regex, filtering, indexing, interpolation, and outlier treatment.
• Strong familiarity with data extraction in a variety of environments, including SQL and JQuery.
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL and Spark.
• Experience managing multiple projects with tight deadlines in a collaborative environment.
• Ability to work all scheduled hours, including overtime as directed by a manager or supervisor and required by business need.
• English language fluency.

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 the candidate lacks a graduate degree.
• Previous experience in banking or the fintech industry.
• Experience with SQL, SAS, and Tableau.
• Strong coding skills.
• Good data mining skills.
• Ability to think creatively and out of the box.

Responsibilities

• Independently perform sophisticated data analytics, including classical econometrics, machine learning, neural networks, and natural language processing, using structured and unstructured data in a variety of environments.
• Produce compelling data visualizations to communicate insights and influence outcomes among stakeholders.
• 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 environments such as Python, SAS, and R to create predictive analytics applications.
• Use, maintain, share, and collaborate through internal code repositories.
• Research and advocate for adoption of emerging data science methods and technologies.
• Apply sound judgment and promote risk management throughout design, development, and deployment; coordinate with cross-functional teams on data usage rules, governance, and analytics capabilities.
• Translate complex data into clear narratives for senior leadership and recommend strategic solutions based on analytical findings.

Benefits

• Medical, dental, and vision insurance.
• Life insurance and disability coverage.
• Accidental death and dismemberment coverage.
• Tax-preferred savings accounts.
• 401(k) plan.
• At least 10 days of vacation during the first year, prorated based on hire date and full-time or part-time status.
• 10 sick days, prorated.
• Paid holidays.
• Depending on the position and division, potential eligibility for a 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