Note: The job is a remote job and is open to candidates in USA. Truist Bank is a financial services company seeking a Data Scientist I to perform sophisticated statistical, predictive, and machine learning analytics that improve business outcomes and minimize risk. The role involves designing and deploying data science solutions, communicating insights through visualizations, consulting with stakeholders, and advancing analytics capabilities while supporting data governance and risk management.
Responsibilities
- 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
- With minimal guidance, 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
Skills
- English (Required)
- 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
- Exhibit understanding of statistical methods, including a broad understanding of 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/differential equations, with understanding of stochastic processes
- Demonstrate 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 (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
- 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 graduate degree
- Previous experience in the banking or fin-tech industry
Benefits
- For eligible regular teammates (not temporary or contingent workers) working 20 hours or more per week: medical insurance
- For eligible regular teammates (not temporary or contingent workers) working 20 hours or more per week: dental insurance
- For eligible regular teammates (not temporary or contingent workers) working 20 hours or more per week: vision insurance
- For eligible regular teammates (not temporary or contingent workers) working 20 hours or more per week: life insurance
- For eligible regular teammates (not temporary or contingent workers) working 20 hours or more per week: disability insurance
- For eligible regular teammates (not temporary or contingent workers) working 20 hours or more per week: accidental death and dismemberment coverage
- For eligible regular teammates (not temporary or contingent workers) working 20 hours or more per week: tax-preferred savings accounts
- For eligible regular teammates (not temporary or contingent workers) working 20 hours or more per week: a 401k plan
- No less than 10 days of vacation during the first year of employment, prorated based on date of hire and full-time or part-time status
- 10 sick days during the first year of employment, prorated based on date of hire and full-time or part-time status
- Paid holidays
- Depending on the position and division, eligibility for Truist’s defined benefit pension plan
- Depending on the position and division, eligibility for restricted stock units
- Depending on the position and division, eligibility for a deferred compensation plan
Company Overview
Company H1B Sponsorship