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Data Scientist I - Fraud ReportingCrump Life Insurance Svcs Inc • Charlotte, North Carolina, United States
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Data Scientist I - Fraud Reporting

Crump Life Insurance Svcs Inc
  • US
    Charlotte, North Carolina, United States
  • US
    Charlotte, North Carolina, United States
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À propos

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) ESSENTIAL DUTIES AND 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 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. REQUIRED QUALIFICATIONS 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. PREFERRED QUALIFICATIONS 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 fintech industry. BENEFITS All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, including medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts, and a 401(k) plan. Teammates also receive no less than 10 days of vacation (prorated) and 10 sick days (prorated), along with paid holidays. Depending on the position and division, the job may also be eligible for a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. EEO STATEMENT Truist is an Equal Opportunity Employer that does not discriminate 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. EEO is the Law. E-Verify. Right to Work.
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  • Charlotte, North Carolina, United States

Compétences linguistiques

  • English
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