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Scientific Analyst Jobs (NOW HIRING)

USAA

Decision Science Analyst I

San Antonio, TX · On-site

Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

teKnoluxion

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Bachelor's degree in systems Engineering or in related technical or scientific fields such as ...

teKnoluxion

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and ... Bachelor's degree in systems Engineering or in related technical or scientific fields such as ...

teKnoluxion

Data Science Analyst

Saint Louis, MO

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Bachelor's degree in systems Engineering or in related technical or scientific fields such as ...

teKnoluxion

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... Bachelor's degree in systems Engineering or in related technical or scientific fields such as ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

N4 Solutions

Scientific Program Analyst

Bethesda, MD · On-site

The Scientific Program Analyst will support the National Institutes of Health (NIH), Clinical Center (CC), Department of Bioethics by providing scientific research, program coordination, manuscript ...

Tatari

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Tatari

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

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Scientific Analyst information

What is a scientific analyst?

A Scientific Analyst is a professional who collects, processes, and interprets scientific data to support research, policy-making, or business decisions. They often work with large datasets, employ statistical and computational methods, and translate complex scientific results into actionable insights. Scientific Analysts may work in various industries, including pharmaceuticals, environmental science, healthcare, and technology. Their work helps organizations make informed decisions based on evidence and scientific reasoning.

What are the key skills and qualifications needed to thrive as a scientific analyst?

To thrive as a Scientific Analyst, you need a strong background in data analysis, scientific research methods, and a relevant degree in a scientific field such as biology, chemistry, or physics. Familiarity with statistical software (e.g., R, Python, SAS), laboratory information management systems (LIMS), and data visualization tools is typically required. Critical thinking, attention to detail, and effective written and verbal communication skills help distinguish top performers in this role. These abilities are vital for accurately interpreting complex data, presenting findings clearly, and supporting sound scientific decision-making.

How does a scientific analyst typically collaborate with cross-functional teams in an organization?

Scientific Analysts often work closely with researchers, data scientists, and project managers to interpret complex datasets and generate actionable insights. They may participate in regular meetings to present findings, discuss methodologies, and ensure alignment with project goals. Collaboration is key, as Scientific Analysts often bridge the gap between technical data analysis and practical applications, ensuring that scientific results are clearly communicated to both technical and non-technical stakeholders. This collaborative environment fosters diverse perspectives and contributes to more robust scientific outcomes.

What is the difference between Scientific Analyst vs Data Analyst?

AspectScientific AnalystData Analyst
Required CredentialsBachelor's or higher in science, engineering, or related fields; often some technical certificationsBachelor's in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLaboratories, research facilities, or technical settingsOffices, data centers, or remote work environments
Employer & Industry UsageResearch institutions, government agencies, biotech, pharmaceuticalsBusiness, finance, marketing, healthcare sectors

Scientific Analysts focus on experimental data, research, and technical analysis within scientific settings. Data Analysts interpret large datasets to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, Scientific Analysts are more research-oriented, whereas Data Analysts emphasize data interpretation for strategic insights.

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Cities with the most Scientific Analyst job openings:

Who are the top companies hiring for Scientific Analyst jobs?

The top employers for Scientific Analyst jobs are:

What states have the most Scientific Analyst jobs?

States with the most job openings for Scientific Analyst jobs include:

What job categories do people searching Scientific Analyst jobs look for?

The top searched job categories for Scientific Analyst jobs are:

Scientific Analyst jobs near you
Infographic showing various Scientific Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

Decision Science Analyst I

USAA

San Antonio, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

USAA rating

8.2

Company rating: 8.2 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

52nd of 174 rated banks

Job description

Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.
We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.
The Opportunity
As a dedicated Decision Science Analyst, you will provide decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., sales, attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano and Charlotte, NC.
Relocation assistance is not available for this position.
What you'll do:
  • Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. Being curious, proactively digging data for actionable insights
  • Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Delivers analysis/findings in a manner that conveys understanding, influences mid to upper-level management, garners support for recommendations, drives business decisions, and influences business strategy.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:
  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
  • 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.Marketing, Bank) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years' experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. Marketing, Bank).
  • Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, Python Tableau/BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

What sets you apart:
  • 2 or more years of experience in digital or customer analytics.
  • Web Analytics Tools: Google analytics, Adobe analytics
  • Advance statistical testing experience
  • Experience with data visualization or business intelligence tools (e.g., Tableau, Power BI) to communicate insights effectively.
  • US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $93,770 - $179,240
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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