Data Scientist I

Truist•Atlanta, GA

About The Position

Perform sophisticated analytics, including statistical and predictive analytics and machine learning modeling, to provide actionable insights that improve business outcomes and minimize risk. Consult with business leaders and other stakeholders on leveraging analytics insights and developing analytics strategies. The role involves end-to-end data science solution design, technical delivery, and measurable business outcomes, using structured and unstructured data in a variety of environments.

Requirements

Bachelor’s degree and zero to 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 concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus and differential equations, with an 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 a variety of environments, such as 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.
English fluency is required.
Ability to access and interpret client information on a computer and to hear and speak with individuals in person and on the phone.
Ability to use standard office equipment, including a PC keyboard and mouse, copy/fax machines, and printers.
Ability to work all scheduled hours, including overtime as directed and required by business needs.

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 the banking or fintech industry.

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 data visualizations that communicate insights and influence outcomes among stakeholders.
Own end-to-end data science solution design, technical delivery, and measurable business outcomes.
Meet with 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, and share code through internal repositories and collaborate to promote learning and cross-pollination of skills.
Research emerging data science methods and technologies and advocate for their adoption to advance Truist’s capabilities.
Apply sound judgment and risk management practices throughout solution design, development, and deployment; partner with cross-functional teams on data usage rules, data governance, and analytics capabilities.
Work scheduled hours, including overtime as directed by a manager or supervisor and required by business needs.
Travel minimally, up to 10%.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
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 position and division, a defined benefit pension plan, restricted stock units, and/or deferred compensation plan may be available