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Meta Data Scientist Jobs in Ohio (NOW HIRING)

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience ... meta-data; * Knowledge of developing dimensional data models from unstructured content and ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site +1

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience ... meta-data; * Knowledge of developing dimensional data models from unstructured content and ...

Meta is at the leading edge of the global data center industry, both in terms of how data centers ... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ...

AI Architect

Westerville, OH

$60.75 - $80/hr

Work in conjunction with business teams, data scientists, software engineers, and other relevant ... Experience working with multiple Large Language Models (e.g., Azure Open AI GPT 3.5/4.0, Meta ...

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Work in conjunction with business teams, data scientists, software engineers, and other relevant ... Experience working with multiple Large Language Models (e.g., Azure Open AI GPT 3.5/4.0, Meta ...

... and Meta. • Implement vector databases such as Pinecone, Weaviate, and FAISS. • Ensure ... Required : • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or ...

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Showing results 1-20

Meta Data Scientist information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do meta data scientist jobs pay per year?

As of Jul 31, 2026, the average yearly pay for meta data scientist in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What are some typical projects or challenges a Meta Data Scientist might encounter on the job?

As a Meta Data Scientist, you may work on projects ranging from large-scale data infrastructure optimization to advanced predictive modeling and experimentation. Challenges often include handling massive and complex datasets, ensuring data quality, and translating business needs into data-driven solutions. You'll likely collaborate closely with engineers, product managers, and other scientists to deliver impactful insights and scalable tools. This dynamic environment encourages creative problem-solving and offers opportunities for skill advancement and cross-functional learning. The role frequently involves balancing technical execution with clear communication to stakeholders.

What are the key skills and qualifications needed to thrive in the Meta Data Scientist position, and why are they important?

To thrive as a Meta Data Scientist, you need a strong background in statistics, machine learning, data analytics, and computer science, often supported by an advanced degree in a relevant field. Familiarity with programming languages like Python or R, cloud computing platforms, big data tools such as Spark or Hadoop, and certifications in data science or analytics are highly valuable. Strong collaborative, problem-solving, and communication skills help foster insights and share results effectively across multidisciplinary teams. These skills are essential for building scalable models, generating actionable data-driven insights, and effectively contributing to organizational innovation.

What is a Meta Data Scientist job?

A Meta Data Scientist at Meta (formerly Facebook) uses data analysis, machine learning, and statistical techniques to drive business decisions and improve products. They work with large-scale datasets to extract insights, optimize algorithms, and enhance user experiences. Responsibilities often include A/B testing, predictive modeling, and collaborating with engineers and product teams. The role requires strong programming skills (Python, SQL, R), expertise in statistical analysis, and experience with data visualization. Typically, candidates have backgrounds in computer science, mathematics, or related fields.

What are the most commonly searched types of Meta Data Scientist jobs in Ohio? The most popular types of Meta Data Scientist jobs in Ohio are:
What job categories do people searching Meta Data Scientist jobs in Ohio look for? The top searched job categories for Meta Data Scientist jobs in Ohio are:
What cities in Ohio are hiring for Meta Data Scientist jobs? Cities in Ohio with the most Meta Data Scientist job openings:
Infographic showing various Meta Data Scientist job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Scientist- Data Research and Development USA

First Solar

Perrysburg, OH • On-site

Full-time

Re-posted 12 days ago


First Solar rating

6.6

Company rating: 6.6 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

458th of 536 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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