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Lead Science Jobs (NOW HIRING)

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

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

The Lead Scientist shall work in BSL-3 laboratories and thus must hold and maintain BPRP status, IAW the provisions in this contract and applicable regulations. Employee shall use computer to analyze ...

Lead or support technical projects or programs through development and implementation, as ... Degree in Physics, Applied Physics, Mechanical Engineering, Materials Science, Chemical Engineering ...

MS or PhD degree incomputer science, engineering, physics, statistics, mathematics, operations ... Proven ability to lead cross functional teams on medium to large scale projects and handling client ...

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Lead Science information

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$10

$25

$72

How much do lead science jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for lead science in the United States is $25.73, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.04 per hour, depending on experience, location, and employer.

How does a Lead Science professional typically collaborate with cross-functional teams in a research-driven organization?

As a Lead Science professional, you will often work closely with teams across departments such as engineering, product development, and data analytics. Collaboration includes guiding experimental design, ensuring scientific rigor, and translating complex findings into actionable insights for diverse stakeholders. Regular meetings, joint project planning, and integrated problem-solving sessions are common, allowing you to both mentor junior scientists and facilitate alignment between scientific objectives and organizational goals. Strong communication skills and a collaborative mindset are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Lead Scientist, and why are they important?

To thrive as a Lead Scientist, you need advanced expertise in your scientific discipline, a strong track record of research, and typically a Ph.D. or equivalent experience. Familiarity with laboratory management software, statistical analysis tools, and relevant laboratory techniques is essential. Leadership, problem-solving, and effective communication skills help manage teams and drive innovative research projects. These abilities are crucial for ensuring scientific rigor, successful project execution, and fostering collaboration across multidisciplinary teams.

What is a Lead Science position?

A Lead Science position typically refers to a senior role responsible for overseeing scientific research, projects, or teams within an organization. Individuals in this role guide scientific strategy, mentor junior scientists, and ensure research aligns with organizational goals and industry standards. They may also coordinate cross-functional collaboration, manage budgets, and communicate findings to stakeholders. The exact responsibilities can vary depending on the industry, such as pharmaceuticals, environmental science, or technology.

What is the difference between Lead Science vs Data Scientist?

AspectLead ScienceData Scientist
Required CredentialsAdvanced degrees in science or related fields, leadership experienceDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, R&D departments, cross-functional teamsTech companies, analytics teams, business units
Employer & Industry UsageResearch institutions, biotech, pharma, tech firmsTech, finance, marketing, healthcare

Lead Science roles focus on guiding scientific research and innovation, often requiring leadership skills and advanced degrees. Data Scientists analyze data to derive insights, typically with specialized training in data analysis and programming. While both roles involve scientific and analytical skills, Lead Science emphasizes research leadership, whereas Data Scientists focus on data analysis and modeling.

More about Lead Science jobs
Infographic showing various Lead Science job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $53,524 per year, or $25.7 per hour.
Decision Science Lead

Decision Science Lead

Truist

Richmond, VA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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, providing project oversight and guidance to Decision Scientists, and supporting the Decision Science Manager in 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 engage in 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. Responsible for mentoring and acting as a force multiplier in support of Decision Scientists, with a focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
2. Lead 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 LOB leaders and senior managers. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on 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. Represent assigned business group in various forums, work streams, and executive reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives.

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 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience
3. 4+ 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 manage a diverse set of 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, with ability to pivot and align resources 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 by supporting teammate training and development and building business partner awareness
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. 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
3. 2+ years of analytics management experience with a diverse project focus and demonstrated results

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