ZipRecruiter

Log In

1

Python Developer Opt Jobs in Ohio (NOW HIRING)

Sequoia Financial Group Llc

Data Scientist

Dublin, OH · On-site

If you are currently on an EAD or STEM OPT Visa that will eventually require sponsorship for the ... This hands-on role requires technical depth in Python programming, data science workflows, and a ...

Judge Group, Inc.

Software Engineer

Columbus, OH · Hybrid

$69 - $74/hr

Lead DevOps and platform engineering initiatives, including Infrastructure as Code (IaC) and GitOps ... Develop automation and tooling using Python to support CI/CD, infrastructure provisioning, and ...

PNC Bank

Software Engineer

Strongsville, OH

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position ... Python scripting Git (branching/merging strategies) Bitbucket (Data Center) Jira (Data Center ...

PNC Bank

Software Engineer Lead

Strongsville, OH · On-site

$86K - $158K/yr

Programming Languages & Frameworks - Python (expert level) - Django or similar Python web ... PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

The Hartford

Senior Cloud Engineer - AWS

Columbus, OH · On-site

$137K - $205K/yr

Develops applications in Python to support automating manual processes and repeatable decision ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

TQL

Senior Database Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

... Azure Devops, Pipelines). Experience with scripting languages (e.g.Python, PowerShell) for ... OPT, H-1B, TN, J1 etc.) will not be considered.

PNC Bank

Software Engineer Principal

Strongsville, OH · On-site

$65K - $144K/yr

Lead end-to-end design and development of scalable Python-based enterprise solutions. -Guide teams ... PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

next page

Showing results 1-20

All JobsPython Developer Opt JobsPython Developer Opt Jobs in Ohio

Python Developer Opt information

What is the difference between Python Developer Opt vs Python Developer?

AspectPython Developer OptPython Developer
Required CredentialsBachelor's in CS or related field; certifications like PCEP or PCAPBachelor's in CS or related field; certifications like PCEP or PCAP
Work EnvironmentTech companies, startups, software firmsTech companies, startups, software firms
Employer & Industry UsagePrimarily in software development, data analysis, automationPrimarily in software development, data analysis, automation
Common Search & ComparisonYesYes

The main difference between Python Developer Opt and Python Developer lies in the certification aspect, where Python Developer Opt often indicates a specialized certification or optional credential. Both roles typically require similar educational backgrounds and work in comparable environments within the tech industry. The choice between them may depend on specific employer requirements or certification preferences.

How do Python Developers typically collaborate with other teams during the software development lifecycle?

Python Developers often work closely with cross-functional teams, including front-end developers, QA engineers, product managers, and DevOps specialists. Collaboration usually involves participating in code reviews, daily stand-ups, and sprint planning sessions to ensure alignment on project goals and timelines. Effective communication is key, as Python Developers may need to explain technical concepts to non-technical stakeholders and integrate their code with other systems or APIs. Utilizing version control systems like Git and agile methodologies helps streamline team workflows and ensures efficient project delivery.

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

A Python Developer should have a strong grasp of Python programming, software development principles, and often a degree in computer science or a related field. Familiarity with frameworks such as Django or Flask, version control systems like Git, and experience with databases are typically required. Problem-solving ability, attention to detail, and effective communication are critical soft skills for collaborating on projects and troubleshooting issues. These competencies ensure the delivery of robust, maintainable code and contribute to successful project outcomes in dynamic development environments.

What are Python Developers (OPT)?

Python Developers (OPT) are professionals, often recent graduates on Optional Practical Training (OPT) in the United States, who specialize in developing software applications using the Python programming language. They work on tasks such as writing and testing code, debugging programs, and integrating new features into existing systems. Python Developers on OPT typically seek roles in web development, data analysis, machine learning, or automation, and their positions are often entry-level or early-career. Employers value their fresh academic knowledge and their ability to bring new perspectives to technical teams.
What are popular job titles related to Python Developer Opt jobs in Ohio? For Python Developer Opt jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Python Developer Opt jobs in Ohio look for? The top searched job categories for Python Developer Opt jobs in Ohio are:
What cities in Ohio are hiring for Python Developer Opt jobs? Cities in Ohio with the most Python Developer Opt job openings:
Python Developer Opt jobs near you
Data Scientist

Data Scientist

Sequoia Financial Group Llc

Dublin, OH • On-site

Full-time

Posted 13 days ago

Job description

Sequoia Financial Group is a growing Registered Investment Advisor (RIA), headquartered in Northeast Ohio, offering financial planning and wealth management services. At Sequoia, we exist with a singular purpose: to enrich lives. Our values define how we behave and guide us through the pursuit of our purpose to enrich lives. At Sequoia, our core values are:
    • Integrity. We act in the best interests of others by providing an honest, consistent experience for our clients and team.
    • Passion. We pursue our full potential, seeking to continually enhance and evolve our ability to serve our clients and team.
    • Teamwork. We subordinate our egos to work together for the benefit of our clients.
Our promise to team members is that you will grow with us. From experienced advisors to new college grads to transitioning principals, every team member will find Sequoia a place to refine their professional mission, move into new opportunities, go deeper, and lead further. We are built to help you build a career here as a long-term contributor in our work to enrich lives for generations.
*If you are currently on an EAD or STEM OPT Visa that will eventually require sponsorship for the H1B Visa, unfortunately, we are not able to sponsor.
Summary of the position:
As part of our expanding Data & AI Office, we seek a highly motivated and hands-on Data Scientist to build intelligent models that drive personalization, operational efficiency, and strategic decision-making. This role is ideal for someone who thrives in experimentation, iterative development, ambiguity, and building new capabilities from the ground up. The successful candidate will be comfortable operating in an evolving environment where data engineering, data science, and solution development responsibilities may overlap.
The Data Scientist will develop product-ready models that support Sequoia’s strategic initiatives in client experience, financial planning, operations, and marketing. This individual will work closely with business stakeholders to understand requirements, translate them into data science problems, and deliver actionable insights through robust modeling and experimentation.
Unlike traditional data science roles operating within mature data platforms, this position requires a builder mindset. The successful candidate will help shape the underlying data environment while simultaneously developing analytical solutions and models that create business value.
This hands-on role requires technical depth in Python programming, data science workflows, and a strong understanding of mapping business requirements to data models. The ideal candidate will be highly innovative, comfortable with ambiguity, and eager to learn through experimentation and iteration.
Success in this role requires a willingness to operate across data science, data engineering, and solution development activities while helping build the foundation of Sequoia’s evolving AI and Data capabilities. This is not a narrowly defined data science role within a mature analytics organization.
This role reports directly to the Vice President of Data and Integrations and collaborates closely with the Data Architect, Client Experience, Marketing, and Technology teams.
Responsibilities
  • Develop and deploy predictive and descriptive models using Python and modern data science libraries
  • Translate business requirements into data science problems and design appropriate modeling strategies
  • Build product-ready models that can be integrated into client-facing and internal applications
  • Conduct exploratory data analysis, feature engineering, and model validation
  • Collaborate with stakeholders across departments to understand use cases and deliver insights
  • Embrace iterative development, rapid prototyping, and continuous learning from experimentation
  • Utilize coding accelerators and low-code tools where appropriate to speed up development
  • Document modeling decisions, assumptions, and performance metrics for transparency and reproducibility
  • Work with data engineers and architects to ensure models are scalable and maintainable in production
  • Stay current with emerging techniques in machine learning, generative AI, and financial modeling
  • Partner with data engineering resources to help define, validate, and operationalize data pipelines, data models, and analytics-ready datasets
  • Contribute to the development and evolution of Sequoia’s cloud data and analytics environment
  • Operate effectively in a rapidly evolving AI and data organization where priorities and requirements may change as new opportunities emerge
  • Identify gaps in data, infrastructure, and processes and proactively recommend solutions
  • Balance immediate business needs with long-term platform and analytics objectives
Required Skills/Experience
  • Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, Engineering, or a related field required; advanced degree preferred
  • 3+ years of experience in data science, machine learning, analytics, data engineering, or related technical roles
  • Proficiency in Python and relevant libraries (e.g., pandas, scikit-learn, NumPy, matplotlib, seaborn)
  • Strong understanding of statistical modeling, machine learning, and data preprocessing
  • Demonstrated ability to map business requirements to data science solutions
  • Experience with iterative development and rapid experimentation
  • Familiarity with coding accelerators or low-code platforms (e.g., Azure ML Studio, H2O.ai)
  • Excellent communication skills and ability to present findings to non-technical stakeholders
  • Strong documentation and organizational skills
  • Experience in financial services, banking, or insurance sectors preferred
  • Demonstrated ability to operate effectively with limited structure and evolving requirements
  • Familiarity with cloud data platforms, data pipelines, and analytics infrastructure
  • Experience working across both data science and data engineering disciplines preferred
Preferred Skills/Experience
  • Exposure to cloud-based data science environments (e.g., Azure ML, Databricks)
  • Familiarity with tools such as Jupyter Notebooks, Git, and MLflow
  • Experience working with Salesforce, Tamarac, eMoney, Fidelity, Schwab, and Box is a plus
  • Experience working in startup, consulting, high-growth, or rapidly evolving environments
  • Experience helping build data platforms, analytics environments, or AI capabilities from early-stage maturity
  • Experience partnering with business and technical stakeholders to define requirements in ambiguous environments
Competencies
  • Builder mindset with a willingness to create processes, frameworks, and solutions where none currently exist
  • Comfortable operating with ambiguity and helping define the path forward
  • Strong problem-solving skills and ability to balance pragmatism with technical rigor
  • Highly innovative and willing to challenge conventional approaches
  • Comfortable learning from failed experiments and pivoting quickly
  • Ability to influence without authority and work effectively across technical and business teams
  • Ability to work independently while maintaining strong communication and alignment with stakeholders