Data Scientist II

Truist Bank•Charlotte, NC

4d•Hybrid

About The Position

The Data Scientist II position involves performing sophisticated analytics, including statistical and predictive modeling, machine learning, and natural language processing, to derive actionable insights that enhance business outcomes and mitigate risk. This role also includes consulting with business leaders and stakeholders on leveraging these insights and developing data-driven strategies. The position requires end-to-end ownership of data science solutions, from design to technical delivery and measuring business impact. It also involves collaborating with cross-functional teams to ensure adherence to data governance and usage policies.

Requirements

Bachelor’s degree in Data Science, Analytics, Computer Science, MIS or a quantitative field.
4 years of experience in quantitative or data analytics positions.
Experience with statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests.
Experience with data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.
Experience with Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions.
Experience with Natural Language Processing techniques and other related Deep Learning knowledge.
Experience managing multiple projects with tight deadlines in a collaborative environment.
Experience with: SQL, SAS, Python, R, Pandas, NumPy, Tableau, Hadoop, and Unix Putty.

Responsibilities

Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
Engage in stakeholder meetings to identify business objectives and scope solution requirements.
Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.
Exercise sound judgment and fosters risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.