Data Scientist 3
Data Scientist 3
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Job Description
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Regular or Temporary:
RegularLanguage Fluency: English (Required)
Work Shift:
1st shift (United States of America)Please review the following job description:
The Role:The Data Scientist 3 position is a senior level individual contributor role within the TAS Visualization and Dashboarding team. This teammate brings expertise in Project Management Stakeholder Management 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 diving deep into developing complex dashboard or coaching and mentoring fellow teammates.
In this role you will gather analyze document maintain and execute on all data requirements related to visualization reporting and automation initiatives for Truist Audit Services. You will own the entire lifecycle of projects from requirements gathering to development to documentation and support.
Day-to day will involve:
Acting as a leader within the team lead projects drive and set standards effectively communicate and manage project stakeholders and develop deliver and maintain dashboards reports and analytics products to support audit delivery and operations.
Working closely with internal clients business analysts and development project teams to resolve information flow and content issues. Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
You will act as a mentor and coach to other teammates.
Your Experience includes:
Managing projects and communicating with a wide variety of audiences both in level and technical expertise
Act as a coach and mentor on technical and power (interpersonal) skills
Experience delivering data visualizations automated reporting data analysis and data extraction to support audit delivery and operations.
Practice in sophisticated analytics (statistical and predictive analytics machine learning modeling etc.) to provide actionable insights that improve business outcomes and minimize risk. Provide leadership to projects and initiatives to ensure successful delivery of visualization reporting and automation projects.
Proven experience in developing implementing and document standards and best practices for a data visualization and reporting team to ensure deliverables are accurate complete current understandable and accessible.
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. Support new ongoing and strategic projects and take accountability and ownership of end-to-end data science solution design technical delivery and measurable business outcome.
3. Extract and evaluate information gathered from multiple sources resolve data conflicts and customize communication of key data findings while providing recommendations to diverse audiences.
4. Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
5. Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design development deployment and mentoring activities through implementing consistent coding standards and best practices focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation.
6. 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; help with the overall risk management for the team.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field with the eye of continually advancing Truists capabilities.
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. Bachelors degree in a quantitative field such as Finance Mathematics Analytics Data Science Computer Science or Engineering or equivalent education and related training
2. Minimum of 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. Ability to maintain a high level of competency in statistical and analytical principles tools and techniques
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. Ten years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
4. Experience with visualization tools in an enterprise production environment such as Tableau Domo and Power BI
5. Experience with Microsoft Power Platform including Power Apps Power Automate and SharePoint Online
6. Experience building and optimizing data pipelines for reporting including strong SQL and SAS coding skills
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 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.
EEO is the LawPay Transparency Nondiscrimination Provision E-Verify
Employment Type
Full-Time
