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Scientific Analyst Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the ...

Showing results 41-60

Scientific Analyst information

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.

What do scientific analysts do?

Scientific analysts collect, analyze, and interpret data related to scientific research or technical projects. They use statistical tools and software to identify trends, support decision-making, and ensure data accuracy, often working in laboratories or research environments. Strong analytical skills and knowledge of scientific methods are essential for this role.

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.

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.

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.
More about Scientific Analyst jobs
What cities are hiring for Scientific Analyst jobs? 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:
Infographic showing various Scientific Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, and 7% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution.

Data Science Analyst

Tatari

Los Angeles, CA • On-site

$70K - $85K/yr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

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, scalable and automated solutions for a varied set of challenging data problems. Under the guidance of our Senior Data Scientists and Senior Data Science Analysts, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience.

Responsibilities: 

  • Automate data-driven tasks; design processes that require zero intervention
  • Work cross-functionally within the organization to deliver integrated business solutions
  • Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance
  • Use best-in-class tools like Databricks, and Tableau to empower insightful analysis for advertising partners 

Qualifications:

  • Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required
  • 1-2 years of academic and/or professional experience in Data Manipulation Software (e.g., SQL, Python, Pandas)
  • Demonstrated abilities to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques
  • Extremely organized with great attention to detail
  • Excellent ability to analyze information and think systematically
  • Works well independently and as part of a team
  • Ability to handle databases and understand technology-driven business tools
  • A sense of curiosity and desire to learn! 

Benefits:

  • Total compensation ($70,000 - $85,000)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 Newbie Productivity Perk
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events 
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

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