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Decision Scientist Two Jobs (NOW HIRING)

... 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 ...

Senior Decision Scientist - OBIQUA

Reston, VA · On-site

$95K - $130K/yr

Celestar Corporation is seeking a Senior Decision Scientist to support The Defense Intelligence ... 2 years with a master's degree. -OR- • A minimum of 17 years of experience related to the ...

Job Title Staff Data & Decision Scientist About the Role You will design, implement, and deploy ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

They are seeking a Data Scientist II to provide analytic, technical, and advisory support, utilizing data science and modeling to enhance enterprise capabilities and inform decision-making.

Data Scientist II Location: 30 Ivan Allen Jr Blvd, NW, Atlanta GA, 30308 HYBRID Duration: 1 Year ... Decision Trees * Random Forests * Neural Networks * Gradient Boosting models Feature Engineering ...

Responsibilities Noblis-ESI is seeking a Data Scientist II to provide analytic, technical, and ... Background in operations research, optimization, or decision science. Overview Overview Noblis and ...

Enable objective decision-making across the company by democratizing data through dashboards and ... As a Senior Data Scientist II, you'll own product strategy and AI expertise-identifying high-impact ...

Albertson's Companies is looking for a Decision Scientist to join our Marketing Science Research ... S. We operate over 2,200 stores, 1,732 pharmacies, 405 fuel centers, 22 distribution facilities ...

They are seeking a Data Scientist II to develop and analyze data-driven solutions, utilizing skills ... or decision support tools • Experience with Python or similar programming languages • ...

Scientist II

Colorado Springs, CO · On-site

$75K - $85K/yr

Job Title: Scientist II Entegris in Colorado Springs is growing and is currently seeking a ... Our decision-making process is truly a collaborative effort as we realize there are leaders at ...

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Decision Scientist Two information

What job makes $10,000 a month without a degree?

A Decision Scientist Two typically earns a high salary through advanced analytical skills, experience, and expertise in data modeling, machine learning, and statistical analysis. While a degree can be helpful, some roles in data science and analytics may be accessible through certifications, self-education, and proven skills, potentially reaching $10,000 or more monthly with the right experience and responsibilities.

What is the difference between Decision Scientist Two vs Data Analyst?

CriteriaDecision Scientist TwoData Analyst
Required CredentialsAdvanced degree in statistics, data science, or related fieldBachelor's degree in related field often sufficient
Work EnvironmentCollaborates with decision-makers to develop models and strategiesPrepares reports and visualizations for business insights
Employer & Industry UsageUsed in finance, marketing, and tech sectors for strategic decisionsCommon across various industries for reporting and analysis

Decision Scientist Two typically requires advanced degrees and focuses on developing predictive models to inform strategic decisions, whereas Data Analysts often have a bachelor's degree and concentrate on data reporting and visualization. Both roles are vital in data-driven organizations but differ in scope and complexity.

What is the 3 month rule for jobs?

The 3 month rule in a decision scientist role often refers to the typical probation or onboarding period, during which performance is closely evaluated. Many companies expect new employees to demonstrate their skills and adapt within the first three months, which can influence ongoing employment, project assignments, or opportunities for advancement.

What jobs can you get with a decision science degree?

A decision science degree prepares individuals for roles such as decision scientist, data analyst, operations researcher, or business analyst. These roles involve analyzing data, modeling decision processes, and applying statistical tools to improve organizational outcomes, often requiring skills in programming, statistics, and data visualization.

Which 3 jobs will survive AI?

Decision Scientists Two, as advanced data analysis and decision modeling roles, are likely to persist because they require complex judgment, domain expertise, and interpretative skills that AI cannot fully replicate. Jobs involving strategic thinking, creative problem-solving, and human interaction, such as healthcare professionals and specialized engineers, are also expected to remain essential despite AI advancements.
More about Decision Scientist Two jobs
What cities are hiring for Decision Scientist Two jobs? Cities with the most Decision Scientist Two job openings:
What states have the most Decision Scientist Two jobs? States with the most job openings for Decision Scientist Two jobs include:
Infographic showing various Decision Scientist Two job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Decision Scientist III

Decision Scientist III

Truist

Winston Salem, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 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, independently driving 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 support consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business 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 Senior Decision Scientist, act as a force multiplier, with a 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 to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
3. Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers. Maximize relationships and build trust with partners while supporting efforts aligned to LOB and company goals.
4. 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.
5. Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
6. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.

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 related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. 2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
4. Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
5. Demonstrated ability to engage and support internal business partners, product sets, and projects, connecting insights with execution and business impact
6. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
7. Experience in managing multiple projects with tight deadlines in a collaborative environment to drive maximum impact
8. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques with business partners
9. 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 or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering

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

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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