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Full Time Data Science Jobs in Ohio (NOW HIRING)

PNC Bank

Data Scientist Lead

Strongsville, OH

$80K - $209K/yr

Provides deep technical expertise to advance the data science capabilities of analytics teams ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

Pursuit Aerospace

Lead Data Scientist

Euclid, OH · On-site

$144K - $198K/yr

... on a full-time basis. * Must be able to perform work subject to ITAR/EAR regulations. Preferred Qualifications: * Bachelor's degree in data science or related field preferred * Master's degree ...

New

Insight

Data Intern

Columbus, OH · On-site

We are looking for motivated rising college seniors to join our 10-week, full-time, paid internship ... Currently enrolled in an accredited Undergraduate degree program in Computer Science, Data Science ...

Booz Allen Hamilton

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

Metrics and Data Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Huntington Ingalls Industries

$103K - $132K/yr

Requisition Number: 26741 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt ... HII-Mission Technologies is currently seeking a skilled Data Scientist/Engineer to design, develop ...

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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:
Full Time Data Science jobs near you

Telematics Data Scientist - Business Data & Analytics

Great American Insurance Group

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Key responsibilities

  • Develop and iterate claims-to-telematics join logic to expand the share of claims successfully linked to telematics data.

  • Build reusable analytical components for fleet behavior monitoring, trend-shift detection, and risk signal analysis.

  • Design and optimize Snowflake data structures to provide scalable foundations for downstream modeling, reporting, and automation.

Great American Insurance Group rating

8.7

Company rating: 8.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

51st of 263 rated insurance

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
We are seeking a Telematics Data Scientist to build foundational analytics that connect claims and telematics data, uncover actionable driver-level insights, enable AI- and automation-driven capabilities, support IoT data discovery, and lay the groundwork for future telematics-enabled decision making.
The ideal candidate combines curiosity, data engineering, data science, and analytical skills with disciplined documentation and a product-minded approach, ensuring assets are reusable, scalable, and aligned to enterprise expectations.
Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions & Responsibilities
  • Develop and iterate claims-to-telematics join logic, contributing analytical, data engineering, and documentation capacity to expand the share of claims successfully linked to telematics data.
  • Build reusable analytical components that support future pricing enablement, including exploratory and production-ready logic for fleet behavior monitoring, trend-shift detection, and trip- and geography-based risk signals.
  • Identify opportunities where telematics-derived analytics can be embedded into AI- or automation-driven workflows.
  • Design and optimize Snowflake data structures (tables, schemas, and queries) to provide high-quality, scalable foundations for downstream modeling, reporting, and automation.
  • Document analytical logic, data structures, and decision rationale to support long-term maintainability, auditability, and knowledge transfer.
  • Improve schema design, reduce duplication, standardize table usage, and support onboarding of new telematics or IoT-derived data sources.

Job Requirements
  • Bachelor's in Data Science, Computer Science, Business Analytics, Neuroscience, or related fields. Master's degree in these fields would be highly preferred.
  • 3 or more years of related experience.
  • Strong SQL proficiency.
  • Experience with unsupervised machine learning techniques to surface patterns, hypotheses, and emerging risk signals.
  • Experience with hypothesis-driven modeling with domain-informed features and constraints.
  • Hands-on experience with Python for data transformation, feature engineering, and building data pipelines that support machine learning workflows and automation.
  • Strong documentation habits, with the ability to clearly explain analytical logic, data structures, and decisions.

Preferred Skills
  • Practical experience with Snowflake data modeling, including table and schema design and query performance optimization.
  • Experience with geospatial or grid-based analytics (e.g., H3 or similar).
  • Background in insurance, fleet, risk, or pricing analytics, particularly where telematics or sensor data is involved.

Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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