Data Scientist I

🔥 6 minutes ago

🌲 North Carolina – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of Truist

Truist

10,000+ employees

Founded 2019

🏦 Banking

💸 Finance

🤝 B2B

Banking • Finance • B2B

Truist is a financial institution that offers a wide range of banking services, focusing on branch banking, commercial banking, corporate and institutional banking, and mortgage and consumer lending. The company emphasizes a culture of care, diversity, and inclusion, striving to make a positive impact in clients' lives and the community. Truist provides various career opportunities and values employee growth, offering comprehensive benefits and resources for well-being. With a commitment to diversity and workplace equity, Truist has received numerous accolades for its employment practices, including recognition for diversity and inclusion efforts.

📋 Description

• Perform sophisticated data analytics, including statistical analytics, predictive analytics, machine learning, neural networks, natural language processing, and econometrics • Use structured and unstructured data across a variety of environments • Produce compelling data visualizations to communicate insights and influence stakeholder outcomes • Own end-to-end data science solution design, technical delivery, and measurable business outcomes • Engage stakeholders to identify business objectives and scope solution requirements • Write, document, and deploy custom code in Python, SAS, R, and other environments to create predictive analytics applications • Use, maintain, share, and collaborate through Truist internal code repositories • Research and advocate adoption of emerging data science methods and technologies • Apply sound judgment and risk management throughout design, development, and deployment • Partner with cross-functional teams on data usage rules, data governance, and analytics capabilities

🎯 Requirements

• 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 • Understanding of statistical methods, including 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 • 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, including SQL and JQuery • Working knowledge of Hadoop, Pig, Hive, NoSQL, and/or Spark • Experience managing multiple projects with tight deadlines in a collaborative environment • English language fluency required • Ability to work all scheduled hours, including overtime as directed • Minimal travel, up to 10% • Master’s degree or PhD in a quantitative field is preferred • Four years of relevant work experience if candidate lacks graduate degree is preferred • Previous banking or fintech industry experience is preferred

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • Accidental death and dismemberment coverage • Tax-preferred savings accounts • 401k plan • At least 10 days of vacation during the first year of employment (prorated) • 10 sick days (prorated) • Paid holidays • Potential eligibility for a defined benefit pension plan • Potential eligibility for restricted stock units • Potential eligibility for a deferred compensation plan

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