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Hourly Python Data Science Jobs in Zanesville, OH

Develop scripts and utilities using Python, SQL, JSON, CSV, SQLite/H2, APIs, and related ... Computer Science, Information Technology, or a related field; equivalent relevant industrial ...

Industrial Engineer

Newark, OH · On-site

$64K - $86K/yr

We are looking for a Manufacturing Data Visualization Engineer to join our Advanced Engineering ... scientists who develop software to solve real world manufacturing problems." Kaiser Aluminum is ...

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

Bachelor of Science in Engineering Discipline or Technology Diploma (electrical maintenance) or an ... data * Ability to lead a unionized hourly employees * Ability to create and drive change and ...

Bachelor of Science in Engineering Discipline or Technology Diploma (electrical maintenance) or an ... data * Ability to lead a unionized hourly employees * Ability to create and drive change and ...

Hourly Python Data Science information

See Zanesville, OH salary details

$12

$54

$79

How much do hourly python data science jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for hourly python data science in Zanesville, OH is $54.32, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $61.68 per hour, depending on experience, location, and employer.

What is an hourly Python data science job?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are the key skills and qualifications needed to thrive as an hourly Python data science professional?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.

What are some common challenges faced by hourly Python data science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What cities near Zanesville, OH are hiring for Hourly Python Data Science jobs?

Cities near Zanesville, OH with the most Hourly Python Data Science job openings:

Industrial Data Systems Engineer

Hebron, OH

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

We're looking for an Industrial Data Systems Engineer to own, support, and continuously improve the systems that collect, transport, store, protect, and make industrial operating data available across our operations. This hands-on OT and industrial data-platform role spans PLCs, industrial networks, SCADA/gateways, MQTT, historian systems, databases, and scripting.

What You'll Bring

  • A strong systems-thinking and troubleshooting mindset with the curiosity to learn unfamiliar technologies, interpret logs and diagnostics, research problems, and work with vendors on solutions.
  • Practical industrial automation knowledge, including how PLC programs, instrumentation, communications, and equipment operation affect data quality and reliability.
  • A detail-oriented approach to configuration management, tag structures, naming standards, data quality, documentation, and change control.
  • Strong communication and collaboration skills across Controls Engineering, IT, Operations, Field Service, Process Engineering, vendors, and other stakeholders, including sound judgment on when to escalate issues.

What You'll Do

  • Own and support the industrial data historian platform and the systems that collect, transport, buffer, store, calculate, and present operational data, including Canary Historian, Ignition, MQTT/Cirrus Link technologies, EWON remote connectivity, and associated services or comparable platforms.
  • Monitor platform health and data ingress, proactively identifying missing data, failed connections, service issues, resource constraints, and abnormal system behavior.
  • Configure new equipment, sites, and integrations using PLC/OPC connectivity, Ignition gateways, MQTT sessions, historian datasets, tag structures, metadata, hierarchies, deadbands, and data-quality settings.
  • Develop and maintain standardized tag structures, templates, naming conventions, and configuration processes; validate data against PLC programs, instrumentation, equipment operation, and source tags to confirm the correct process information is being collected.
  • Troubleshoot the complete industrial data path across PLC communications, OPC, VPN/network connectivity, Ignition, MQTT Transmission/brokers, collectors, store-and-forward services, historian services, calculations, and visualization applications; use logs, diagnostics, database errors, and performance information to identify root causes.
  • Develop, maintain, and execute data-recovery and disaster-recovery procedures for locally buffered, MQTT/store-and-forward, historian, and embedded-database data; manage buffering behavior to minimize data loss during outages, maintenance, and upgrades.
  • Plan and execute upgrades, patches, module updates, configuration changes, and migrations using appropriate testing, backup, rollback, and verification practices; maintain historian calculations, derived tags, events, quality handling, and views.
  • Develop and support Axiom applications, trends, dashboards, reports, and other tools that make historian data useful to engineering, operations, and business users.
  • Develop scripts and utilities using Python, SQL, JSON, CSV, SQLite/H2, APIs, and related technologies for configuration, tag creation, validation, transformation, recovery, diagnostics, and administrative automation.
  • Work with IT on servers/VMs, backups, networking, DNS, firewalls, Active Directory, and infrastructure dependencies; support secure operation through appropriate access, certificates/TLS, service accounts, credentials, and remote connectivity.
  • Manage vendor support relationships and cases, including collecting diagnostics, testing fixes, and escalating unresolved issues; track software licenses, support agreements, annual renewals, subscriptions, certificates, and vendor contacts.
  • Maintain system documentation and operational runbooks, including architecture, configuration standards, inventories, support contacts, troubleshooting/recovery/upgrade procedures, and known issues; provide technical training and knowledge transfer.
  • Continuously improve reliability, monitoring, standardization, automation, scalability, cybersecurity, and supportability, and participate in the long-term design and evolution of the industrial data architecture.

What You'll Need

  • Associate or bachelor's degree in Electrical Engineering, Controls/Automation Engineering, Computer Engineering, Computer Science, Information Technology, or a related field; equivalent relevant industrial experience may be considered.
  • Three or more years of experience in industrial automation, controls, SCADA, historian platforms, OT systems, industrial data systems, or a related technical environment.
  • Working knowledge of PLC-based automation systems and the ability to read PLC programs to identify process signals and historian data sources; Allen-Bradley/Rockwell Automation experience is strongly preferred.
  • Experience with industrial communications such as OPC/OPC UA, MQTT, Sparkplug B, EtherNet/IP, and Modbus, plus administration or support of an industrial historian, SCADA, IIoT, or data platform. Experience with Ignition and Canary Historian is strongly preferred; comparable platforms will be considered.
  • Understanding of OT networking and infrastructure concepts including TCP/IP, DNS, VPNs, firewalls/ports, certificates/TLS, Windows services, servers, and virtual machines.
  • Working knowledge of Python and SQL/database concepts, with experience using structured data and configuration formats such as JSON, CSV, and APIs; SQLite/H2 familiarity is beneficial.
  • Experience interpreting logs, error messages, trace files, diagnostic packages, and other technical information during troubleshooting.
  • Strong documentation, communication, organization, time-management, and problem-solving skills with the ability to work independently and collaboratively.
  • Canary Historian administration, including Historian, MQTT Collector, SAF, Views, Calculations/Events, Axiom, and related services.
  • Inductive Automation Ignition Gateway/Edge/EAM, Cirrus Link MQTT Transmission/broker technologies, and EWON/eCatcher remote access and data collection.
  • Historian calculations, data-quality management, derived tags, deadbanding, store-and-forward architectures, and industrial data recovery/disaster recovery.
  • Windows Server and virtualized OT infrastructure; software lifecycle management including testing, upgrades, rollback, licensing, and vendor support.
  • Power BI, Tableau, Axiom, or comparable visualization/reporting platforms.

Benefits and Perks

  • Competitive salary with opportunities for career growth and advancement
  • Medical, dental, and vision coverage
  • 401(k) with company match
  • Paid time off and floating holidays
  • Volunteer Time Off (VTO) to give back to your community
  • Employee referral bonus program
  • Wellness benefits that support your overall health and well-being
  • Opportunities for professional development, training, and leadership growth
  • Collaborative and supportive team environment
  • Stable company with long-term career opportunities

Who Thrives Here

You enjoy meaningful work and take pride in contributing to a team that values collaboration, professionalism, and continuous improvement. You communicate effectively, build strong relationships, and look for ways to enhance processes and service. You understand that success comes from accountability, teamwork, and doing the right thing for customers and colleagues.

You’ll fit right in if you are:

  • Motivated by purpose, service, and delivering results
  • Organized, dependable, and committed to high-quality work
  • A strong communicator who builds positive working relationships
  • Proactive and solution-oriented
  • Adaptable and open to learning and growth
  • Someone who values respect, teamwork, and professionalism

We believe a strong workplace is built on trust, innovation, and a shared commitment to excellence—where every team member plays a role in delivering a premier service experience.