Data Scientist Ii Jobs

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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

• Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
• Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
• Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
• 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.
• Engage in stakeholder meetings to identify business objectives and scope solution requirements.
• Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
• 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. 
• 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.
• Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities.

Requirements

• Data Engineering and ML-Ops to both effectively extract, transform, load the data and for further model deployment, including model maintenance and operation.
• Statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
• Natural Language Processing techniques and other related Deep Learning knowledge.
• Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions.
• Linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components.
• Managing multiple projects with tight deadlines in a collaborative environment.
• Working knowledge of calculus/differential equations, including use of stochastic processes.
• Data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.
• Utilizing experience with: SQL, SAS, Hadoop, Hive, NoSQL, Spark, Python, and R.
• Must have a Bachelor’s degree in Data Science, MIS, IT or related field plus 3 years of experience in quantitative or data analyst positions performing/utilizing the following:
  • Statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
  • Linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components.
  • Working knowledge of calculus/differential equations, including use of stochastic processes.
  • Data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.
  • Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions.
  • Data Engineering and ML-Ops to both effectively extract, transform, load the data and for further model deployment, including model maintenance and operation.
  • Natural Language Processing techniques and other related Deep Learning knowledge.
  • Managing multiple projects with tight deadlines in a collaborative environment.
  • Utilizing experience with: SQL, SAS, Hadoop, Hive, NoSQL, Spark, Python, and R.
    

• In the alternative, employer will accept a Master’s degree in Data Science, MIS, IT or related field plus 1 year of experience in quantitative or data analyst positions performing/utilizing the aforementioned.

• Position may be eligible to work remotely but is based out of and reports to Truist offices in Charlotte, NC.  Must be available to travel to Charlotte, NC regularly for meetings and reviews with manager and project teams within 24-hours’ notice.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. Truist is a Drug Free Workplace.

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