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Scientific Data Analyst Jobs (NOW HIRING)

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL

ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets. The successful candidate must be able to understand waveform propagation and be ...

ENSCO - Hot Jobs

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets. The successful candidate must be able to understand waveform ...

ENSCO, Inc.

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets. The successful candidate must be able to understand waveform ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

This role sits at the intersection of data science, regulatory science, and biomedical research. Key Responsibilities: * Develop and execute analytical workflows to process, analyze, and interpret ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

This role sits at the intersection of data science, regulatory science, and biomedical research. Key Responsibilities: * Develop and execute analytical workflows to process, analyze, and interpret ...

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · Remote

$85K - $115K/yr

Scientific Data Analyst Work Location: Remote Clearance Required: Public Trust - Federal Client requires US Citizenship Alpha Omega is seeking a qualified looking for a Scientific Data Analyst to ...

Alpha Omega Integration

Scientific Data Analyst

Vienna, VA · On-site

$85K - $115K/yr

Scientific Data Analyst Work Location: Remote Clearance Required: Public Trust - Federal Client requires US Citizenship Alpha Omega is seeking a qualified looking for a Scientific Data Analyst to ...

ClinLab Solutions Group

IN · On-site

$61 - $78.25/hr

Scientific Data Architect Work Location: Marion County, Indiana DOES OFFER RELOCATION Summary ... Collaborate with business analysts, scientists, and AI engineers to develop and deploy machine ...

ShiftCode Analytics

Data Analyst

Chicago, IL · On-site

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics). * Proven experience as a Data Analyst or similar role. * Proficiency in Python and SQL for data analysis and ...

Uncountable

Scientific Data Engineer

New York, NY · On-site

$125K - $150K/yr

Your primary responsibility will be to structure and ingest customer data for the Uncountable Web Platform where scientists enter and analyze their experiments. In this role you will (1) manipulate ...

Elder Research

Data Analyst

Arlington, VA · Hybrid

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Elder Research

Data Analyst

Arlington, VA · Hybrid

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Elder Research

Data Analyst

Arlington, VA · On-site

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

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Scientific Data Analyst information

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How much do scientific data analyst jobs pay per year?

As of Jun 27, 2026, the average yearly pay for scientific data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Scientific Data Analyst typically collaborate with research teams and subject matter experts?

Scientific Data Analysts frequently work alongside researchers, lab technicians, and subject matter experts to interpret complex data sets and extract actionable insights. Collaboration often involves participating in project meetings to understand experimental goals, sharing preliminary analyses, and refining data collection or processing methods based on feedback. Strong communication skills are essential, as analysts must translate statistical findings into clear, meaningful recommendations for non-technical stakeholders. This teamwork ensures that data-driven decisions are closely aligned with scientific objectives and enhances the overall quality of research outcomes.

What are the key skills and qualifications needed to thrive as a Scientific Data Analyst, and why are they important?

To thrive as a Scientific Data Analyst, you need a background in statistics, data science, and scientific research, usually supported by a degree in a quantitative field. Proficiency with statistical software (such as R, Python, or SAS), data visualization tools, and experience with databases are commonly required, along with knowledge of industry-specific data standards. Strong analytical thinking, attention to detail, and effective communication skills help convey complex findings to non-technical stakeholders. These skills and qualities ensure accurate data interpretation, reliable research outcomes, and meaningful contributions to scientific projects.

What jobs in the US pay 300,000 a year?

For a Scientific Data Analyst, earning $300,000 annually typically requires extensive experience, advanced skills in data modeling and statistical analysis, and often a role in high-paying industries such as finance, technology, or pharmaceuticals. Positions at this level may include senior or lead roles, data science directors, or specialized consultants, often with additional certifications or advanced degrees. Compensation varies based on location, company size, and individual expertise.

What is a scientific data analyst?

A scientific data analyst is a professional who collects, processes, and interprets data from scientific research or experiments. They often use statistical tools, programming languages like Python or R, and data visualization software to support scientific conclusions and decision-making.

Is 40 too late for data science?

A Scientific Data Analyst can start a career in data science at any age, including 40, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R. Age is less important than your ability to develop expertise and adapt to evolving technologies in the field.

What are scientific data analysts?

Scientific data analysts are professionals who collect, process, and interpret large sets of scientific data to help researchers, organizations, or institutions make data-driven decisions. They often use statistical tools, programming languages, and data visualization techniques to analyze complex datasets from experiments or studies. Their insights support scientific research, improve processes, and enable more accurate results in fields such as biology, chemistry, environmental science, and healthcare.

Is AI replacing data analysts?

AI is transforming the role of scientific data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on complex interpretation and strategic decision-making. While AI tools can enhance efficiency, human expertise remains essential for designing analyses, validating results, and providing context. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.
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What cities are hiring for Scientific Data Analyst jobs? Cities with the most Scientific Data Analyst job openings:
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Scientific Data Analyst jobs near you
Infographic showing various Scientific Data Analyst job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 12% Part Time, 6% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Scientific Data Analyst

Scientific Data Analyst

ENSCO, Inc.

Melbourne, FL

Other

Posted 4 days ago

Job description

ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in analytics regarding time series data sets.  The successful candidate must be able to understand waveform propagation and be able to apply it to conduct analysis of data sets.  Demonstrated understanding of digital signal processing, mathematics and in-depth knowledge of time series analytical expertise is required. 
ENSCO's Mission System Group (MSG) Division provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of software systems for multipurpose geophysical and other data collection, processing, and analysis.
 

Qualifications Required:
Bachelors Degree & Minimum 3 years' experience as a 9S100 seismic analyst in the United States Air Force
        Minimum of 3 years related experience in the following:
o         Demonstrated experience in seismo-acoustic waveform analysis and experience using seismo-acoustic analysis software such as ARS (Analyst Review Station), Geotool/Seatools, SAC (Seismic Analysis Code).
o         Detailed understanding of local, regional, and teleseismic seismic phases.
o         Understanding of digital signal processing including spectral analysis. 
o         Observational ability to interpret time series waveform data, identify seismic, infrasonic, and hydroacoustic phases, distinguish signals from background noise.
        A self-starter with excellent oral and written communication skills.
        Experience navigating within the Linux environment
        Experience running programs in python, Matlab, or other scientific software
        Demonstrated experience with Microsoft Office (Excel, Word, PowerPoint).
        AN ACTIVE TS/SCI SECURITY CLEARANCE IS REQUIRED FOR THIS POSITION, FOR WHICH, YOU MUST BE A U.S. CITIZEN. 

Qualifications Desired:
        Ability to build an average of 60 seismic events per day
        Experience working with large disparate data sets identifying long-term and short patterns in data 
        Experience with data fusion analytics
        Experience with Magnitude, Distance, Amplitude Correction (MDAC) methodology
        Ability to conduct spatio-temporal analysis
        Familiarity with workflow in an operational environment
        Familiarity with Government mission sets 

Work Location Type: On-Site
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: TS/SCI
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes

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