1

Best Computer Science Jobs in Ohio (NOW HIRING)

... the best predictive models * Being able to interpret the models that are being generated ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

... the best predictive models * Being able to interpret the models that are being generated ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

... the best predictive models * Being able to interpret the models that are being generated ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. * Drive ... PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data ...

Get matched with students best-suited to your teaching style and expertise. * Our AI-powered Tutor ... computer science coursework and software engineering careers. * Conceptual Teaching & Problem ...

Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. * Drive ... PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data ...

Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. * Drive ... PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data ...

Science Teacher

Cleveland, OH

$46.60K - $60.10K/yr

... best utilize the available time for instruction. - Designs learning activities to demonstrate the ... use computer network system and software applications as needed. - Ability to organize and ...

Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive ... PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data ...

Evangelizes best practices to analytics and products teams. * Owns the entire model development ... Master's degree in computer science, statistics, economics or related field * 5+ years of ...

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100.90K - $138.60K/yr

... best practices and inspire professional development Qualifications : Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience • 4+ ...

Evangelizes best practices to analytics and products teams. * Owns the entire model development ... Master's degree in computer science, statistics, economicsor related field * 5+ years of experience ...

next page

Showing results 1-20

Best Computer Science information

What are the key skills and qualifications needed to thrive as a Computer Scientist, and why are they important?

To thrive as a Computer Scientist, you need a strong foundation in programming, algorithms, data structures, and typically a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), development tools, and version control systems like Git is important, and certifications in areas like cloud computing or cybersecurity can be beneficial. Analytical thinking, creativity, and effective problem-solving and communication skills help you stand out in this role. These skills and qualities are vital for designing innovative solutions, collaborating with diverse teams, and adapting to the rapidly evolving technology landscape.

What are some common challenges computer science professionals face when working on large-scale software projects?

Computer science professionals often encounter challenges such as coordinating with cross-functional teams, managing complex codebases, and ensuring software scalability and security in large-scale projects. Effective communication and version control become crucial as multiple developers contribute to the same codebase. Additionally, prioritizing tasks, debugging intricate issues, and meeting tight deadlines require strong organizational and problem-solving skills. Regular collaboration with project managers, designers, and QA engineers is essential to deliver robust and user-friendly software solutions.

What are the best computer science jobs?

The best computer science jobs are roles that offer strong career growth, competitive salaries, and opportunities to work with cutting-edge technology. Popular positions include software developer, data scientist, artificial intelligence engineer, cybersecurity analyst, and systems architect. These jobs typically require a solid foundation in programming, problem-solving skills, and the ability to keep up with technological advancements. The specific 'best' job for an individual often depends on their interests and specialization within computer science.

Which 3 jobs will survive AI?

In computer science, roles such as software developers, cybersecurity analysts, and data scientists are expected to persist despite AI advancements. These jobs require complex problem-solving, creativity, and domain-specific expertise that AI is less likely to fully automate. Continuous learning and specialized skills in programming, security, and data analysis will remain valuable.

What is the difference between Best Computer Science vs Software Developer?

AspectBest Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, startups, freelance, corporate IT teams
Industry UsageAcademic, research, industry R&DProduct development, application programming, system design
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on building and maintaining software applications

While Best Computer Science emphasizes theoretical foundations, research, and broad technical knowledge, Software Developers focus on designing, coding, and maintaining software applications. Both roles often require similar educational backgrounds, but their work environments and primary objectives differ.

What cities in Ohio are hiring for Best Computer Science jobs? Cities in Ohio with the most Best Computer Science job openings:
Infographic showing various Best Computer Science job openings in Ohio as of May 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.
Data Science Consultant

Data Science Consultant

Deloitte

Cleveland, OH

Other

Posted 27 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. 

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means: 

  • Ability to understand business goals and translate them into Machine Learning use cases and model design
  • Understanding and applying clustering/sampling techniques to design
  • Grow your understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  • Being able to interpret the models that are being generated 
  • Developing proofs of concept to verify your ideas
  • Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
  • Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required:

  • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. 
  • At least 2+ years of industry experience outside of academia
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred:

  • A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
  • Good problem decomposition skills and autonomy when faced with solving data problems 
  • Experience manipulating large marketing data sets and performing ETL
  • Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
  • Proficiency in high level scripting language, such as Python or R
  • Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Experience with Deep Learning architectures and/or Reinforcement Learning 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. 

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means: 

  • Ability to understand business goals and translate them into Machine Learning use cases and model design
  • Understanding and applying clustering/sampling techniques to design
  • Grow your understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  • Being able to interpret the models that are being generated 
  • Developing proofs of concept to verify your ideas
  • Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
  • Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required:

  • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. 
  • At least 2+ years of industry experience outside of academia
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred:

  • A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
  • Good problem decomposition skills and autonomy when faced with solving data problems 
  • Experience manipulating large marketing data sets and performing ETL
  • Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
  • Proficiency in high level scripting language, such as Python or R
  • Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Experience with Deep Learning architectures and/or Reinforcement Learning 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom