... Science, or similar technical discipline, without prior technical work experience. • Deep understanding of Design of Experiments. • Meta-analysis and systematic research review. • Data ...
... Science, or similar technical discipline, without prior technical work experience. • Deep understanding of Design of Experiments. • Meta-analysis and systematic research review. • Data ...
Perform Program meta-analysis, putting the newest experiment in context with history, highlighting key abnormalities, consistencies, and correlations. * Data Science & Statistics Subject Matter ...
Perform Program meta-analysis, putting the newest experiment in context with history, highlighting key abnormalities, consistencies, and correlations. * Data Science & Statistics Subject Matter ...
Perform Program meta-analysis, putting the newest experiment in context with history, highlighting key abnormalities, consistencies, and correlations. * Data Science & Statistics Subject Matter ...
Perform Program meta-analysis, putting the newest experiment in context with history, highlighting key abnormalities, consistencies, and correlations. * Data Science & Statistics Subject Matter ...
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI spa.
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI spa.
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI spa.
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI spa.
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Bellevue, WA · On-site
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI spa.
Data Science Director (IC)
Bellevue, WA · On-site
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI spa.
Data Science Director (IC)
Menlo Park, CA · On-site
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI spa.
Data Science Director (IC)
Menlo Park, CA · On-site
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI spa.
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 ...
Principal Data Science Engineer
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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 ...
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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 ...
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 ...
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AI Data Foundation Research Engineer
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$113K - $136K/yr
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AI Data Foundation Research Engineer
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$113K - $136K/yr
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$113K - $136K/yr
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$113K - $136K/yr
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Entry Level Meta Data Science information
See salary details
$13.22 - $17.64
10% of jobs
$20.89 is the 25th percentile. Wages below this are outliers.
$17.64 - $22.05
20% of jobs
$22.05 - $26.46
18% of jobs
The median wage is $27.05 / hr.
$26.46 - $30.88
16% of jobs
$34.12 is the 75th percentile. Wages above this are outliers.
$30.88 - $35.29
16% of jobs
$35.29 - $39.71
6% of jobs
$39.71 - $44.12
3% of jobs
$44.12 - $48.54
4% of jobs
$48.54 - $52.95
3% of jobs
$52.95 - $57.36
2% of jobs
$57.36 - $61.78
2% of jobs
$13
$32
$61
How much do entry level meta data science jobs pay per hour?
What is the difference between Entry Level Meta Data Science vs Entry Level Data Analyst?
| Aspect | Entry Level Meta Data Science | Entry Level Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; familiarity with machine learning and programming | Bachelor's in Statistics, Business, or related; proficiency in Excel, SQL, and data visualization |
| Work Environment | Tech companies, e-commerce, social media platforms, often collaborative and project-based | Business, finance, marketing departments; focus on reporting and insights |
| Employer & Industry Usage | Used in tech, advertising, and online services for developing models and algorithms | Common 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?
How much does an entry-level meta data scientist make?
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:
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:

Full-time
Re-posted 3 days ago
First Solar rating
6.5
Based on 76 frontline employees who took The Breakroom Quiz
474th of 543 rated manufacturers
Job description
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.
What First Solar employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About First Solar
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Tempe, AZ, US
Year founded
1999