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Data Scientist I - Card Fraud Analytics - Atlanta, GACrump Life Insurance Svcs Inc • Atlanta, Georgia, United States
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Data Scientist I - Card Fraud Analytics - Atlanta, GA

Crump Life Insurance Svcs Inc
  • US
    Atlanta, Georgia, United States
  • US
    Atlanta, Georgia, United States
Jetzt Bewerben

Über

Job Description
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. 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 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. Qualifications
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 fin-tech industry. Other Job Requirements / Working Conditions
Regular or Temporary: Regular Language Fluency: English (Required). Work Shift: 1st shift (United States of America). Sitting Constantly (More than 50% of the time). Visual / Audio / Speaking: Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding: Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability: Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel: Minimal and up to 10%. Available Benefits
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. Equal Employment Opportunity
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 IER Right to Work. About Truist. Truist is a purpose‑driven financial services company, formed by the historic merger of equals of BB&T and SunTrust. We serve clients in a number of high‑growth markets in the country, offering a wide range of financial services. At Truist, our purpose is to inspire and build better lives and communities. That happens through real care to make things better. To meet client needs, to empower teammates, and to lift up communities. Learn more about Truist on truist.com.
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  • Atlanta, Georgia, United States

Sprachkenntnisse

  • English
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