Data Scientist II

Truist Financial; Charlotte (NC); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) plan

Vacation days

Sick days

Paid holidays

Job summary

Truist Financial in Charlotte, NC seeks a data analytics professional to perform sophisticated analytics, ML modeling, and consult with business leaders to leverage insights and build strategies around analytics.

You will develop predictive analytics applications in Python, SAS or R, manage end-to-end solutions, and communicate findings with stakeholders while upholding data governance and risk management practices.

Qualifications

• Bachelor's degree in a quantitative field and 4+ years of related experience.
• Strong understanding of statistical methods and econometrics.
• Familiarity with linear algebra and optimization concepts.
• Experience with data cleansing, regex, filtering and outlier treatment.
• Proficient in data extraction (SQL) and big data tools (Hadoop/Spark).
• Ability to manage multiple projects with tight deadlines.
• Experience with Python, SAS or R for predictive analytics.

Responsibilities

• Independently perform sophisticated data analytics across structured and unstructured data.
• Produce compelling data visualizations to influence stakeholders.
• Own end-to-end data science solution design and delivery.
• Engage with stakeholders to identify objectives and scope requirements.
• Write and deploy predictive analytics code in Python/SAS/R.
• Collaborate using internal code repositories to share knowledge.
• Research emerging data science methods to advance capabilities.
• Maintain risk-aware design, governance, and cross-functional coordination.

Skills

Statistical methods

ML & econometrics

Time-series analysis

Data visualization

Python

SAS

R

SQL

NoSQL

Education

Bachelor's degree in quantitative field

Master's or PhD preferred

Tools

SQL

JQuery

Hadoop

Pig

Hive

NoSQL

Spark

Python

Job description

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

Please review the following 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

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

• 1. 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.
• 2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
• 3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
• 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
• 5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
• 6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
• 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truists capabilities.
• 8. 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.

QUALIFICATIONS

Required Qualifications:

• 1. Bachelors 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
• 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
• 3. 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
• 4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
• 5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
• 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
• 7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:

• 1. Masters degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
• 2. Four years of relevant work experience if candidate lacks graduate degree
• 3. Previous experience in the banking or fin-tech industry

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

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%

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 Truists generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truists 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 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.

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