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Data Science New Grad Jobs in Ohio (NOW HIRING)

Data Scientist

Mason, OH · On-site

  • Medical

  • Retirement

  • PTO

Translate ambiguous business problems into structured data science statements * Organize ... Develop proof-of-concepts to validate new AI techniques * Convert insights and research outcomes ...

Data Scientist

Mason, OH · On-site

  • Medical

  • Retirement

  • PTO

Translate ambiguous business problems into structured data science statements * Organize ... Develop proof-of-concepts to validate new AI techniques * Convert insights and research outcomes ...

Data Scientist

Mason, OH · On-site

  • Medical

  • Retirement

  • PTO

Translate ambiguous business problems into structured data science statements * Organize ... Develop proof-of-concepts to validate new AI techniques * Convert insights and research outcomes ...

... new capabilities. * Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects * Translate complex business ...

Data Scientist

Dayton, OH · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

In an increasingly connected world, massive amounts of structured and unstructured data open new ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

Data Scientist

Beavercreek, OH

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

In an increasingly connected world, massive amounts of structured and unstructured data open new ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Data Scientist

Dayton, OH · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

In an increasingly connected world, massive amounts of structured and unstructured data open new ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

Assess, design, build and deploy new end-to-end AI solutions incorporating analytics, ML, DL, NLP ... Strong understanding of data science, analytics, and data cleaning processes. * Ability to coach ...

Data Scientist

Dayton, OH

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

In an increasingly connected world, massive amounts of structured and unstructured data open new ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

Showing results 41-60

Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What cities in Ohio are hiring for Data Science New Grad jobs?

Cities in Ohio with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


EssilorLuxottica rating

7.2

Company rating: 7.2 out of 10

Based on 295 frontline employees who took The Breakroom Quiz

8th of 40 rated optical retailers


Job description

Requisition ID: 934434 Store #: A00090 Wholesale TA CSCLX
Position: Full-Time
Total Rewards: Benefits/Incentive Information
If you've worn a pair of glasses, we've already met.
We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions, iconic brands that consumers love such as Ray-Ban, Oakley, Persol and Oliver Peoples, as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences such as Sunglass Hut, LensCrafters, and Target Optical, and leading e-commerce platforms.
Our portfolio of more than 150 renowned brands span various categories, from frames, lenses and instruments to brick and mortar and digital distribution as well as mid-range to premium segments. Our Shared Services Team, accompany and enable others within the EssilorLuxottica collective to achieve their targets. They keep people and projects running smoothly, ensuring every part of our business is provided for and well taken care of.
Join our global community of over 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!
GENERAL FUNCTION
The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the full problem-to-solution journey: engaging stakeholders, translating business challenges into ML solutions, researching emerging AI techniques, and delivering production-ready models that drive measurable business value. It balances innovation with execution, ensuring outcomes are practical, scalable, and aligned to business needs.
MAJOR DUTIES AND RESPONSIBILITIES
Managing
  • Engage with stakeholders to understand objectives, constraints, and success metrics
  • Deliver end-to-end ML solutions from problem framing to production deployment
  • Conduct applied research to evaluate and prototype new AI/ML techniques
  • Prioritize between research and delivery based on business impact
  • Manage model lifecycle: validation, monitoring, retraining, and optimization

Organizing
  • Translate ambiguous business problems into structured data science statements
  • Organize exploratory analysis, experimentation, and research frameworks
  • Structure scalable ML pipelines for training, inference, and deployment
  • Develop proof-of-concepts to validate new AI techniques
  • Convert insights and research outcomes into actionable recommendations

Leading
  • Drive solutions from research to production
  • Act as a trusted analytics advisor through consultative problem-solving
  • Promote adoption of ML solutions by communicating value and limitations
  • Evaluate and adopt emerging AI/ML techniques
  • Mentor junior team members on research and delivery best practices

BASIC QUALIFICATIONS
  • Bachelor's degree in Computer Science, Data Science, Statistics, or related field
  • Proven experience delivering ML solutions in production
  • Ability to work independently with stakeholders and own delivery
  • Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow, PyTorch)
  • Solid understanding of statistical modeling, ML techniques, and data mining
  • This position is not available for visa sponsorship or transfer. Candidates must have authorization to work in the United States

PREFERRED QUALIFICATIONS
  • Master's or PhD in Data Science, Statistics, or related discipline
  • Experience in applied research and rapid prototyping of AI/ML solutions
  • Exposure to advanced AI techniques (deep learning, generative AI, optimization)
  • Experience deploying ML models using Docker, Kubernetes, or cloud-native services
  • Familiarity with Azure, Databricks, Spark, Synapse, and Lakehouse architecture
  • Strong storytelling and communication skills for technical and non-technical audiences
  • Experience in agile, fast-paced, cross-functional environments
  • Balance research depth with delivery focus
  • Ability to evaluate and apply new AI techniques pragmatically
  • Excellent listening and problem-solving skills
  • Strong ownership mindset with minimal supervision
  • Ability to translate complex research into business value

This posting is for an existing vacancy within our business. Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In addition, you may also be offered a competitive bonus and/or commission plan, which complements a first-class total rewards package. Benefits may include health care, retirement savings, paid time off/vacation, and various employee discounts.
EssilorLuxottica complies with all applicable laws related to the application and hiring process. If you would like to provide feedback regarding an active job posting, or if you are an individual with a disability who would like to request a reasonable accommodation, please call the EssilorLuxottica SpeakUp Hotline at 844-303-0229 (be sure to provide your name, job id number, and contact information so that we may follow up in a timely manner) or email HRCompliance@luxotticaretail.com.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, national origin, social origin, social condition, being perceived as a victim of domestic violence, sexual aggression or stalking, religion, age, disability, sexual orientation, gender identity or expression, citizenship, ancestry, veteran or military status, marital status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy or maternity leave), genetic information or any other characteristics protected by law. Native Americans in the US receive preference in accordance with Tribal Law.

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