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Decision Scientist Ii Jobs (NOW HIRING)

Decision Scientist II

Atlanta, GA · On-site

$100K - $115K/yr

... 1. As a Decision Scientist, focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products. 2. Partner on target ...

Decision Scientist II

Atlanta, GA · On-site

$100K - $115K/yr

... 1. As a Decision Scientist, focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products. 2. Partner on target ...

Decision Scientist II

Charlotte, NC · On-site

$100K - $115K/yr

... 1. As a Decision Scientist, focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products. 2. Partner on target ...

Decision Scientist II

Richmond, VA · On-site

$100K - $115K/yr

... 1. As a Decision Scientist, focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products. 2. Partner on target ...

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. * Explore and apply tools to solve business challenges and deliver solutions that are ...

Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. * Explore and apply tools to solve business challenges and deliver solutions that are ...

As a Senior Marketing Decision Scientist II, you will shape how we measure, forecast, and optimize marketing performance across channels, helping Instacart make smarter investment decisions and ...

As a Senior Marketing Decision Scientist II, you will shape how we measure, forecast, and optimize marketing performance across channels, helping Instacart make smarter investment decisions and ...

The Decision Scientist will support the design, development, and deployment of Next Best Action ... Work Experience: * 2-4 years applied data science, quantitative analytics, or related work; hands ...

The Decision Scientist will support the design, development, and deployment of Next Best Action ... Work Experience: * 2-4 years applied data science, quantitative analytics, or related work; hands ...

Decision Scientist III

Atlanta, GA · On-site

$86K - $115K/yr

... 2. Partner on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business ...

Decision Scientist III

Richmond, VA · On-site

$86K - $115K/yr

... 2. Partner on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business ...

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Decision Scientist Ii information

What is a Decision Scientist II?

A Decision Scientist II is a mid-level data professional who analyzes complex datasets to provide insights that drive business decisions. They use statistical modeling, machine learning, and data visualization techniques to interpret trends and recommend actionable strategies. Working closely with stakeholders, they help optimize processes, improve efficiency, and support strategic initiatives. This role requires strong analytical skills, proficiency in tools like Python, SQL, and Tableau, and the ability to communicate findings effectively.

What are the typical projects or problems that a Decision Scientist II works on?

A Decision Scientist II frequently works on projects such as optimizing business operations, developing predictive models, conducting A/B testing, and supporting strategic decision-making with deep data insights. You might analyze large datasets to identify trends, build data-driven recommendations, and present findings to cross-functional teams. Collaboration with data engineers, business leaders, and product managers is common, ensuring that analytical solutions align with both technical feasibility and organizational goals. This role often involves balancing hands-on data analysis with stakeholder engagement to drive impactful outcomes.

What are the key skills and qualifications needed to thrive in the Decision Scientist II position, and why are they important?

To thrive as a Decision Scientist II, you need advanced analytical skills, a strong background in statistics or data science, and typically a master's degree in a quantitative field. Experience with data analysis tools like Python, R, SQL, and machine learning platforms is highly valuable, as is knowledge of business intelligence tools such as Tableau or Power BI. Effective communication, critical thinking, and the ability to present complex findings to non-technical stakeholders help set candidates apart. These competencies are essential for translating data-driven insights into actionable business recommendations in dynamic environments.

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Infographic showing various Decision Scientist Ii job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Decision Scientist II

Truist

Atlanta, GA • On-site

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Truist rating

7.9

Company rating: 7.9 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

78th of 176 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Act as an individual contributor supporting analytics projects and executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.
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. As a Decision Scientist, focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
2. Partner on target initiatives as assigned; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
3. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
4. Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
5. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
6. Foster communication and partnership across multiple levels of the organization including engagement with LOB contributors and junior-level managers.
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. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills
2. Bachelor's degree or equivalent education and 3+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. Must be able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
4. Innovative and strategic thinker with ability to connect to practical application, providing recommendations on target initiatives, with a strong bias to action and focus on quantifiable business impact
5. Experience in delivering insights against tight deadlines in a collaborative environment to drive maximum impact
6. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques
7. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)
Preferred Qualifications:
1. Master's in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. 6+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results if candidate lacks a graduate degree
The annual base salary for this position is $100,000 - $115,000.
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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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019