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Entry Level Meta Data Science Jobs (NOW HIRING)

Principal Data Science Engineer

$138K - $185K/yr

They are seeking a high-impact principal data science engineer to join an early-stage team with a ... Amazon (strongly preferred), Apple, Twitter, Google, Meta, Microsoft, Netflix, etc. Company : The ...

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Nationwide travel | Meta data center projects Pay: $20/hr + $30/hr overtime Per Diem: $1,400+/month ... Recent IT, computer networking, computer science, engineering, telecommunications, or trade-school ...

Be Seen First

Nationwide travel | Meta data center projects Pay: $20/hr + $30/hr overtime Per Diem: $1,400+/month ... Recent IT, computer networking, computer science, engineering, telecommunications, or trade-school ...

Stay current with emerging trends in data science, machine learning, analytics, and artificial ... Experience using commercial or open-source LLMs (e.g., OpenAI, Anthropic, Meta Llama, Mistral ...

New

Stay current with emerging trends in data science, machine learning, analytics, and artificial ... Experience using commercial or open-source LLMs (e.g., OpenAI, Anthropic, Meta Llama, Mistral ...

New

Senior Data Scientist

Brooklyn, NY · On-site

$100K - $150K/yr

Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help customers integrate and develop ...

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

Our team comes from Meta, Google, Apple and Uber. We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help customers integrate and develop ...

Individuals will be handling multiple activities in a team supporting diverse NA Scientific data ... meta-data, data lineage, data cleansing services *Activities: data modeling, data audit, detailed ...

Showing results 41-60

Entry Level Meta Data Science information

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$13

$32

$61

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

As of Aug 21, 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.

Does Meta have entry-level positions?

Meta offers entry-level positions in data science, including roles such as Data Scientist I, which typically require a bachelor's degree in a related field and some experience with statistical tools and programming languages like Python or R. These roles often provide training and opportunities to develop skills in machine learning, data analysis, and visualization within a collaborative environment.

How much does an entry-level meta data scientist make?

An entry-level data scientist typically earns between $60,000 and $85,000 annually, depending on location, industry, and company size. Skills in programming, statistical analysis, and tools like Python or R can influence starting salaries for this role.
More about Entry Level Meta Data Science jobs

What cities are hiring for Entry Level Meta Data Science jobs?

Cities with the most Entry Level Meta Data Science job openings:

What are the most commonly searched types of Meta Data Science jobs?

The most popular types of Meta Data Science jobs are:

Infographic showing various Entry Level Meta Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Scientist- Data Research and Development USA

First Solar

Perrysburg, OH • On-site

Full-time

Re-posted 3 days ago


First Solar rating

6.5

Company rating: 6.5 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

474th of 543 rated manufacturers


Job description

Job Summary:
First Solar is a leading company in solar energy technology, and they are seeking a Scientist for Data Research and Development. The role involves supporting large scale statistical experiment design and analysis, serving as a lead statistician for project teams, and providing expertise in data science techniques to generate insights.
Responsibilities:
• While assigned to a Development Program, serve as statistical expert and work with Technical, Operations and Process Engineering Teams to achieve program goals via research, modeling, experiment design and analysis.
• Gain deep understanding of program objectives, learning the physics behind the processes to know current and predict future Program Team needs.
• Help Team define an experiment’s statement of intent, reviewing previous responses and assuring factor estimability is understood.
• Systematic review of prior experimentation to find relevant, high-quality data, while accounting for variability in study approach, sample size, execution, environment, etc.
• Standardize and weight prior research to build new predictive models to guide Program experimentation.
• Understand experimenter’s needs and develop custom experiment design to efficiently create insight.
• Exhaustively evaluate experiment design and resulting model.
• Work with Program Partners to define and prepare datasets for modeling.
• Monitor many data streams and feedback data quality to Program Teams.
• Be the data forensics Program Lead, data mining root cause of un-intended processing artifacts.
• Explore data using a variety of statistical (e.g., data mining, regression, cluster analysis, partitioning, PCA) techniques to answer research questions and guide future experiments.
• Synthesize independent experiment findings into overall treatment effects.
• Prepare testing scenarios and test model performance against new results, subsets, etc.
• Clearly and concisely communicate analysis and modeling results to business partners, supporting socialization and adoption of results into business activities and decisions.
• Perform Program meta-analysis, putting the newest experiment in context with history, highlighting key abnormalities, consistencies, and correlations.
• Define data structures and systems that will institutionalize improvements and lower the bar for analysis across the organization.
• Hone and proliferate the craft of cross-experiment meta-analysis in Research & Development.
• Assist in development of standard analytical approaches and methodologies for the department.
• Apply advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression, multivariate analyses, PCA or simulation, to analyze the effects of experimentation.
• Provide guidance and direction related to statistical analysis to less experienced Research & Development staff as needed.
• Provide peer review related to analytics methods and results.
• Work closely with Development Technical Teams to identify and answer critical questions.
• Identify and scope new opportunities for statistical analysis applications and scripting.
• Proactively research and leverage new statistical techniques and technologies to apply and teach.
• Develop and lead training sessions for advanced Data Science & Statistics concepts.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Data Science, or similar technical discipline, and 5 years of relevant technical experience or 2 years of experience as an Engineer- Analytics R&D at First Solar.
• Master’s Degree in Computer Science, Information Systems, Engineering, Data Science, or similar technical discipline, and 3 years of relevant technical experience or 2 years of experience as an Engineer- Analytics R&D at First Solar.
• Ph.D. in Computer Science, Information Systems, Engineering, Data Science, or similar technical discipline, without prior technical work experience.
• Deep understanding of Design of Experiments.
• Meta-analysis and systematic research review.
• Data forensics and partitioning on large data sets.
• Data Wrangling: preparation, mapping, and transformation.
• Structured and unstructured data sets.
• Executive level storytelling with data visualization.
• Impart clarity when communicating complex data relationships.
• Linear Algebra: Matrix Algebra and eigenvalues/vectors.
• Passion to learn new areas of study (device physics learning will be intensive).
• High emotional intelligence.
• Bravery to speak a dissenting opinion or present evidence against current belief.
• Skilled in a structured problem-solving method (such as DMAIC, A3, 5 Whys, etc.).
• Extensive understanding of Probability and Inferential Statistics as well as visual display of these concepts.
• Expert at building predictive models and utilizing advanced statistical analysis, including generalized linear models, decision trees, PCA, logistic and multivariate regression.
• Deep knowledge of statistical and modeling software tools and scripting languages such as JMP, SAS, Python, SPSS, or R to manipulate data and draw insights from large data sets.
• Experience with Microsoft environment: Windows OS, Office 365, Teams, SharePoint, etc.
Preferred:
• Previous R&D, PV, or Semiconductor experience helpful, but not necessary.
Company:
First Solar manufactures thin film photovoltaic modules and provides PV power plants and supporting services. Founded in 1999, the company is headquartered in Tempe, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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