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Entry Level Meta Data Scientist Jobs (NOW HIRING)

Noblesoft Solutions

Data Scientist

Jacksonville, FL

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

DataAnnotation

$40/hr

Overview Data Scientist role at DataAnnotation. You will train AI models, measure progress of AI ... Job details Seniority level: Entry level Employment type: Full-time Job function: Engineering and ...

WVU Medicine

Associate Data Scientist

Morgantown, WV · On-site

$60.70K - $61.20K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

West Virginia University Health System

$60.70K - $61.20K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

Tech Consulting

Be Seen First

Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type ... Fulltime Duration: 2 years Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree ...

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Entry Level Meta Data Scientist information

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$165K

$243.5K

How much do entry level meta data scientist jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level meta data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Meta Data ScientistEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with machine learning and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentTech companies, e-commerce, social media platforms, often collaborative and project-basedBusiness, finance, healthcare sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech-driven industries focusing on data modeling and machine learningCommon across various industries for data reporting and insights

Entry Level Meta Data Scientists focus on developing machine learning models and working with large datasets, often in tech environments. Entry Level Data Analysts primarily interpret data, create reports, and support decision-making. Both roles require strong analytical skills but differ in technical complexity and focus areas.

More about Entry Level Meta Data Scientist jobs
What cities are hiring for Entry Level Meta Data Scientist jobs? Cities with the most Entry Level Meta Data Scientist job openings:
What are the most commonly searched types of Meta Data Scientist jobs? The most popular types of Meta Data Scientist jobs are:
What states have the most Entry Level Meta Data Scientist jobs? States with the most job openings for Entry Level Meta Data Scientist jobs include:
What job categories do people searching Entry Level Meta Data Scientist jobs look for? The top searched job categories for Entry Level Meta Data Scientist jobs are:
Entry Level Meta Data Scientist jobs near you
Infographic showing various Entry Level Meta Data Scientist job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, 10% Part Time, 3% Temporary, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Zimmerman Advertising

Fort Lauderdale, FL

Full-time

Posted 13 days ago

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor’s degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

Required Skills
Required Experience

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