Data Scientist at Walmart Connect focusing on automation and AI solutions for reporting needs. Collaborating cross - functionally to ensure strategic initiatives are executed smoothly.
About the role
- Data Scientist II at Truist performing advanced analytics and machine learning for business insights and risk minimization. Collaborating with business leaders to leverage data science strategies.
Responsibilities
- Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
- Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
- Independently perform sophisticated data analytics (such as 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.)
- 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 data science field, with the eye of continually advancing Truist’s capabilities
- Exercise sound judgment and foster 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
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
- 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
Benefits
- medical, dental, vision, life insurance
- disability, accidental death and dismemberment
- tax-preferred savings accounts
- 401k plan
- no less than 10 days of vacation
- 10 sick days
- paid holidays
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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