Lead Data Scientist

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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:

The Digital Workplace Lead Data Scientist will be a senior level individual contributor role in the Teammate Support Experience function, analyzing how our teammates experience support, our products, automation, and self-service adoption.
This teammate brings expertise in Employee Technology products and services, Service Desk and Support functions and processes, and technical expertise in business intelligence and visualization including SQL, Tableau, Power BI, and other visualization and reporting tools. The candidate will be equally happy leading projects and managing communications, developing complex dashboards, datasets and stored procedures, or coaching and mentoring fellow teammates.
In this role you will gather, analyze, document, maintain and execute on all requirements related to databases, stored procedures, data visualization, reporting and automation initiatives for Digital Workplace. You will be engaged in the entire lifecycle of projects, from requirements gathering to development to documentation and support. This position will enable data-driven business decisions around product strategies and reducing contacts to the IT Service Desk.
Day-to-day will involve leading projects, driving and setting technology standards, communication with project stakeholders, and developing, delivering and maintaining datasets, dashboards, reports, and analytics products to support Digital Workplace. You will be working closely with teammates, product owners, vendors, and project teams on how to leverage analytics insights and build strategies around analytics. Researching and resolving information flow and data content issues, and analysis of complex datasets will be required.

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.    Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk. 
2.    Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
3.    Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
4.    Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. 
5.    Manage engagement in various analytics initiatives across the team, lead junior teammates, and partner with cross-functional teams.
6.    Act first to learn and adopt new analytical capabilities and keeps advancing home-grown solutions towards industry leading benchmark. 
7.    Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partners with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities; help with overall risk management for the team.
8.    Actively mentor and guide junior teammates in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers.
9.    Drive overall team standards and take a leading role in hiring, onboarding and continuously coaching new teammates.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1.    Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 
2.    Six years of related experience 
3.    Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility
4.    In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc.
5.    Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
6.    Experience in managing multiple projects with tight deadlines and/or leading teams

Preferred Qualifications:

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

4.    Knowledge of ServiceNow or other IT Service Management software and familiarity with data table structure and content.

5.    Experience with database ETL and writing API calls.

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 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 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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