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Entry Level Meta Data Science Jobs (NOW HIRING)

Meta

Data Science Director

Menlo Park, CA · On-site

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platfor.

Meta

Data Science Director

New York, NY · On-site

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platfor.

Omnicom Media US PHD

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... Meta (Blueprint), SQL, Python, R (online) * Expert-level domain knowledge of business/industry ...

Omnicom Media US PHD

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... Meta (Blueprint), SQL, Python, R (online) * Expert-level domain knowledge of business/industry ...

Tatari

Data Science Analyst

San Francisco, CA

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

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Entry Level Meta Data Science information

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How much do entry level meta data science jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level meta data science in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Meta Data Science vs Entry Level Data Analyst?

AspectEntry Level Meta Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with machine learning and programmingBachelor's in Statistics, Business, or related; proficiency in Excel, SQL, and data visualization
Work EnvironmentTech companies, e-commerce, social media platforms, often collaborative and project-basedBusiness, finance, marketing departments; focus on reporting and insights
Employer & Industry UsageUsed in tech, advertising, and online services for developing models and algorithmsCommon in corporate, retail, and finance sectors for analyzing data trends

Entry Level Meta Data Science roles focus on developing machine learning models and working with large datasets, often requiring programming skills. Entry Level Data Analyst positions emphasize data interpretation, reporting, and visualization to support business decisions. Both roles are entry-level but differ in technical complexity and focus areas.

More about Entry Level Meta Data Science jobs
What are the most commonly searched types of Meta Data Science jobs? The most popular types of Meta Data Science jobs are:
What job categories do people searching Entry Level Meta Data Science jobs look for? The top searched job categories for Entry Level Meta Data Science jobs are:
Entry Level Meta Data Science jobs near you
Infographic showing various Entry Level Meta Data Science job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 2% Full Time, 83% Part Time, 1% Temporary, 12% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Scientist II, Experimentation

Data Scientist II, Experimentation

Pinterest

San Francisco, CA • On-site, Remote

Other

Posted 12 days ago

Job description

We are seeking a data scientist with a strong background in experimentation and statistical analysis to help us improve and iterate on our experimentation platform. The successful candidate will play a key role in improving our experiment processes at scale, leveraging their expertise to drive innovation and help make sure that Pinterest users are receiving the most thoroughly data-driven features. With thousands of experiments running concurrently, the magnitude of our operations presents a significant opportunity for impact. If you possess a strategic mindset, proven experience in experimental design and analysis, and a passion for driving results, we invite you to join us in shaping the future of experimentation.

What you'll do:;

  • Comb through the literature in experimentation to identify potential methodologies that can improve parts of our platform where we have the biggest opportunities.
  • Make the process of setting up, running and evaluating experiments smoother and more repeatable for our platform users, ensuring that decisions are risk-aware and consistent
  • Write workflows to make our vast experimentation meta-data able to be leveraged by our team and outside of our team to better understand the experimentation landscape.
  • Consult with product data science teams to debug, design or improve their experiments and experimentation process.

What we're looking for:

  • PhD in a relevant field (stats, applied math, biostatistics, etc...) OR 2+ years of hands-on experience working as a data scientist or applied scientist.
  • Experience working directly on experimentation problems and an awareness of state of the art methodologies.
  • The ability to write clean, efficient, and scalable code that can be easily maintained and extended by other team members.
  • Proficiency in software development best practices, including version control systems such as Git, to ensure efficient collaboration, code management, and reproducibility in a data science environment.
  • Familiarity with workflow management tools such as Apache Airflow to create and schedule data pipelines, allowing for automated and reliable execution of machine learning workflows.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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