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Python Data Science Jobs in Ohio (NOW HIRING)

Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.Demonstrated ability to ...

Health IT Data Scientist

Continental, OH · Remote

$110K - $120K/yr

Minimum seven (7) years of data science experience. * Experience with Python, R, SQL, and machine learning techniques. * Strong statistical analysis and predictive modeling skills. * Experience with ...

Advanced degree preferred or equivalent experience* 3-5 years of professional data science or machine learning experience* Strong proficiency in Python and ML libraries* Experience with cloud ...

Lead Data Science Projects * Translate complex business requirements into robust, scalable ... Advanced experience developing and deploying machine learning models using Python and modern ML ...

PhD in Chemical Engineering or Material Science; or MA with +5 industrial experience * Coding skills in R or Python including data preparation, regression, and plotting * Some formal education in ...

Lead Data Science Projects * Translate complex business requirements into robust, scalable ... Advanced experience developing and deploying machine learning models using Python and modern ML ...

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Python Data Science information

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$12

$55

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How much do python data science jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python data science in Ohio is $55.73, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.32 per hour, depending on experience, location, and employer.

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

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are the most commonly searched types of Python Data Science jobs in Ohio? The most popular types of Python Data Science jobs in Ohio are:
Sales Data Science & AI Enablement Analyst

Sales Data Science & AI Enablement Analyst

Vertiv Co

Westerville, OH • On-site

Other

Posted 8 days ago


Vertiv rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

332nd of 430 rated machine equipment manufacturers


Job description

POSITION SUMMARY

  • The Sales Data Science & AI Enablement Analyst is an entrylevel role designed for earlycareer talent with a background in data science, analytics, or machine learning. This role supports the development, testing, and operationalization of advanced analytics and AIenabled solutions for Sales Operations. Under the guidance of senior team members, the analyst contributes to model development, data preparation, feature engineering, and quality assurance, while learning Vertiv's analytics platforms, engineering standards, and governance practices.

RESPONSIBILITIES

  • Advanced Analytics & AI Support
    • Assist in developing, testing, and refining analytics and AI models for Sales use cases.
    • Contribute to exploratory data analysis, feature engineering, and model evaluation.
    • Document model logic, assumptions, and testing results in alignment with team standards.
  • Data Preparation & Engineering Support
    • Prepare, clean, and transform datasets using Python, SQL, and Snowflake.
    • Support integration of new data sources into analytical workflows.
    • Build reusable scripts, templates, and basic automation components under supervision.
  • Platform & Tooling Enablement
    • Learn and apply Vertiv's analytics technology stack, including Python, Git, Linux environments, Snowflake, Matillion, Sigma, and Power BI.
    • Follow engineering standards for version control, documentation, and code quality.
    • Support senior team members in maintaining shared analytical assets, semantic layers, and reusable patterns.
  • Quality, Testing & Governance
    • Execute validation checks and contribute to analytics quality assurance processes.
    • Identify anomalies or data quality issues and escalate appropriately.
    • Help ensure analytics deliverables meet reliability and governance expectations.
  • CrossTeam Collaboration
    • Collaborate with Sales analytics teams to understand data requirements and support analytical solution development.
    • Participate in code reviews, working sessions, and technical discussions.
    • Communicate findings clearly and professionally to team members and partners.

QUALIFICATIONS

  • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
  • 0-3 years of foundational experience with Python, SQL, data science, and machine learning concepts (coursework, internships, or projects).
  • Familiarity with version control (Git) and data platforms (Snowflake, or similar).
  • Strong analytical mindset with curiosity and willingness to learn enterprise analytics technologies.
  • Demonstrated attention to detail and commitment to producing highquality work.
  • Ability to work collaboratively and communicate effectively with technical and nontechnical stakeholders.

PHYSICAL & ENVIRONMENTAL DEMANDS

  • No special physical requirements.

TIME TRAVEL REQUIRED

  • No travel required.

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.  

OUR CORE PRINCIPALS:  Safety.  Integrity. Respect.  Teamwork.  Diversity & Inclusion.

OUR STRATEGIC PRIORITIES

  • Customer Focus
  • Operational Excellence
  • High-Performance Culture
  • Innovation
  • Financial Strength

OUR BEHAVIORS

  • Own It
  • Act With Urgency
  • Foster a Customer-First Mindset
  • Think Big and Execute
  • Lead by Example
  • Drive Continuous Improvement
  • Learn and Seek Out Development

At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertivco.com. If you are interested in applying or learning more about this role, please visit the company's career page located on Vertiv.com/Careers.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

What Vertiv employees say

Pay

Benefits

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