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Temporary Applied Statistics Jobs (NOW HIRING)

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Decision Scientist III

Charlotte, NC · On-site

$86K - $115K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Decision Scientist III

Richmond, VA · On-site

$86K - $115K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Decision Scientist III

Richmond, VA · On-site

$104K - $130K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Decision Scientist III

Richmond, VA · On-site

$86K - $115K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ...

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Temporary Applied Statistics information

See salary details

$40.5K

$83.7K

$117K

How much do temporary applied statistics jobs pay per year?

As of Jul 21, 2026, the average yearly pay for temporary applied statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Applied Statistics vs Applied Statistics?

AspectTemporary Applied StatisticsApplied Statistics
CredentialsTypically requires a bachelor's degree in statistics, mathematics, or related fieldUsually requires a bachelor's or master's degree in statistics, mathematics, or related field
Work EnvironmentTemporary roles often in corporate, research, or consulting settingsPermanent positions in various industries including healthcare, finance, and government
Employer & Industry UsageUsed by companies for short-term projects or seasonal needsUsed for ongoing data analysis, modeling, and decision-making

Temporary Applied Statistics roles are short-term, project-based positions requiring foundational statistical skills, while Applied Statistics positions are permanent roles focused on continuous data analysis and modeling. Both roles require similar educational backgrounds but differ mainly in duration and scope of employment.

What jobs make $1,000,000 a year?

In applied statistics roles, earning $1,000,000 annually is rare and typically involves senior positions such as chief data officers, lead quantitative analysts, or roles in hedge funds and investment firms where high-level expertise and significant responsibilities are required. These positions often require advanced degrees, extensive experience, and skills in data modeling, programming, and financial analysis. Most high earners in this field work in finance, technology, or consulting sectors with performance-based bonuses and profit sharing.

Is AI replacing statisticians?

AI is transforming the role of applied statisticians by automating data analysis tasks and providing advanced modeling tools. However, statisticians are still essential for designing studies, interpreting results, and ensuring data quality, as AI tools require human oversight and expertise. The profession continues to evolve with new skills in machine learning and programming languages like R and Python.

What types of projects and collaborations can I expect in a Temporary Applied Statistics role?

In a Temporary Applied Statistics position, you’ll typically work on short- to medium-term data analysis projects, often collaborating with teams from research, product development, or business analytics. Your responsibilities may include designing experiments, performing statistical modeling, and interpreting results to support decision-making. You might also assist in preparing reports or presentations for stakeholders and work closely with subject matter experts to ensure your analyses are relevant and actionable. The role offers exposure to diverse datasets and problems, helping to build practical experience and professional networks within the organization.

What are Temporary Applied Statistics positions?

Temporary Applied Statistics positions are short-term roles focused on applying statistical methods and data analysis techniques to solve real-world problems in various fields such as business, healthcare, or government. Individuals in these roles may work on projects like data collection, statistical modeling, or data interpretation, typically for a set period, such as a semester, summer, or the duration of a specific project. These positions are often ideal for students, recent graduates, or professionals seeking to gain practical experience in applied statistics. Responsibilities can vary depending on the employer and the project needs.

Where can I work with a degree in applied statistics?

A degree in applied statistics qualifies you for roles such as data analyst, statistician, or data scientist in various industries including finance, healthcare, marketing, and technology. These positions often require skills in statistical software like R or Python and may involve working in corporate, research, or government environments.

What are the key skills and qualifications needed to thrive as a Temporary Applied Statistics professional, and why are they important?

To thrive in a Temporary Applied Statistics role, you need a solid background in statistical theory, data analysis, and proficiency with statistical software, often supported by a degree in statistics, mathematics, or a related field. Familiarity with tools such as R, Python, SAS, or SPSS and experience with data visualization platforms like Tableau are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help convey complex findings to non-technical stakeholders. These competencies ensure accurate data interpretation, actionable insights, and meaningful contributions to short-term organizational projects.

What jobs can you get with applied statistics?

Applied statistics skills can lead to roles such as data analyst, statistician, data scientist, quality analyst, and research analyst. These jobs typically require proficiency in statistical software like R or SAS and involve analyzing data to inform decision-making across various industries.
More about Temporary Applied Statistics jobs
What cities are hiring for Temporary Applied Statistics jobs? Cities with the most Temporary Applied Statistics job openings:
What are the most commonly searched types of Applied Statistics jobs? The most popular types of Applied Statistics jobs are:
What states have the most Temporary Applied Statistics jobs? States with the most job openings for Temporary Applied Statistics jobs include:
What job categories do people searching Temporary Applied Statistics jobs look for? The top searched job categories for Temporary Applied Statistics jobs are:
Infographic showing various Temporary Applied Statistics job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Decision Scientist III

Decision Scientist III

Truist

Raleigh, NC

$104K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

58th of 149 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.

7. The annual base salary for this position is $104,000 - $130,000.

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

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