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Full Time Data Science Jobs in Ohio (NOW HIRING)

Data Engineer (AI) - Cincinnati

Cincinnati, OH · On-site

$111K - $134K/yr

They are seeking a full-time Data Engineer to join their AI team, focusing on handling ... Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • 1-3+ ...

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Data Scientist

Columbus, OH · On-site

$101K - $198K/yr

Job Summary The Data Science role at Bread Financial delivers best-in-class actionable business ... You must be work authorized in the United States on a full time basis without the need for any ...

Data Scientist

Columbus, OH · On-site +1

$101K - $198K/yr

Job Summary The Data Science role at Bread Financial delivers best-in-class actionable business ... You must be work authorized in the United States on a full time basis without the need for any ...

Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist. This position will be at Qnity's corporate headquarters in Wilmington, DE. For experienced data ...

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Beavercreek, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Beavercreek, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Beavercreek, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Full Time Data Science information

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.

Which is better, DS or CS?

Data Science (DS) and Computer Science (CS) are distinct fields; DS focuses on analyzing data to inform decisions using tools like Python and machine learning, while CS emphasizes programming, algorithms, and software development. The choice depends on your interests and career goals, with DS often requiring knowledge of statistics and data visualization, and CS emphasizing coding and system design.

Is 40 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is less a barrier than relevant skills and continuous learning.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What are the most commonly searched types of Data Science jobs in Ohio? The most popular types of Data Science jobs in Ohio are:
What cities in Ohio are hiring for Full Time Data Science jobs? Cities in Ohio with the most Full Time Data Science job openings:
Data Engineer (AI) - Cincinnati

Data Engineer (AI) - Cincinnati

Medpace

Cincinnati, OH • On-site

$111K - $134K/yr

Full-time

Posted 4 hours ago


Medpace rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

15th of 58 rated research


Job description

Job Summary:
Medpace is a full-service clinical contract research organization (CRO) that provides clinical development services to the biotechnology, pharmaceutical, and medical device industries. They are seeking a full-time Data Engineer to join their AI team, focusing on handling unconventional data and supporting the integration of large language models in data processing.
Responsibilities:
• Utilize skills in handling of more unconventional data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python);
• Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake;
• Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of REST API);
• Support ensuring the data flow of any external content coming in is handled to the latest US and EU AI Acts concerning AI which includes security, confidentiality and privacy of PHI;
• Collect, analyze and document user requirements working with AI engineers to align data sources to downstream integration within systems;
• Create software applications that support the understanding and visualization of data flows from inception to derivation whilst maintaining version control by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
• Participate in software validation process through development, review, and/or execution of test plan/cases/scripts;
• Communicate with team members regarding projects, development, tools, and procedures; and
• Provide end-user support including setup, installation, and maintenance for application
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Data Science, or a related field
• 1-3+ years of experience in Data Engineering
• Background in working with AI tools that support areas such as data extraction and natural language processing and handling of varied unstructured content into structured meta-data
• Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs
• Solid ETL development, reporting knowledge based off intricate understanding of business process and measures
• Knowledge of REST API
• Good knowledge of SQL Server databases and Python programming language is required
• Excellent analytical, written and oral communication skills
Preferred:
• Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred
• Knowledge of C# is a bonus as is working with Azure data fabric
Company:
Medpace, Inc., a clinical research organization, provides clinical development services for pharmaceutical and biotechnology Founded in 1992, the company is headquartered in Cincinnati, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

Medpace logo

About Medpace

Sourced by ZipRecruiter

Medpace is a globally recognized clinicial contract research organization (CRO) based in Cincinnati, OH, in the United States. Established in 1992, it operates in the healthcare sector, providing scientifically-driven outsourcing solutions for the development of drugs and medical devices. It offers comprehensive services like full-service clinical development services, regulatory affairs management, clinical pharmacology, data management, statistical analysis, and medical writing. By applying a scientifically-driven, therapeutically-focused, and patient-centric approach, Medpace's mission is to accelerate the global development of safe and effective medical therapies.

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Cincinnati, OH, US

Year founded

1992