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Phd Python Jobs in Columbus, OH (NOW HIRING)

Genesis10

AI Lead/Senior Data Scientist

Columbus, OH

$120K - $135K/yr

PhD or Master's degree in Statistics, Economics, Data Science, or related field. * Three to Five ... Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and ...

Vertiv Co

Advanced Thermal Controls Engineer

Westerville, OH · On-site

$80.50K - $104.10K/yr

Preferred engineer with PhD and industrial experience. * At least 5 years related experience ... Matlab, Simulink, Python, C/C++ * MySQL Server, SQL * TensorFlow, Keras, Scikit-learn, PyTorch ...

Vertiv Co

AI Architect

Westerville, OH

$60.75 - $80/hr

Master's degree or PhD in Artificial Intelligence, Machine Learning, Data Science, or related field * Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular ...

Genesis10

Senior Data Scientist

Columbus, OH

$55 - $62.50/hr

... PhD, no work experience is required) In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science Experience with R, RStudio, Python, SAS ...

Genesis10

Senior Data Scientist

Columbus, OH

$55 - $62.50/hr

... PhD, no work experience is required) * In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science * Experience with R, RStudio, Python ...

Confluent

Senior Software Engineer II

Columbus, OH · On-site +1

$197.40K - $232K/yr

... Python) and strong fundamentals in data structures, algorithms, and system design. * Hands-on ... or PhD in computer science, engineering, or a related field, or equivalent practical experience.

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How much do phd python jobs pay per year?

As of May 28, 2026, the average yearly pay for phd python in Columbus, OH is $135,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $158,900.00 per year, depending on experience, location, and employer.

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

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
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Data and Analytics - Business Insurance Data Science Executive Director

Data and Analytics - Business Insurance Data Science Executive Director

JP Morgan Chase

Columbus, OH

Full-time

Medical, Retirement

Posted 5 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Join the team that will build and lead a high-performing team of analytics leaders, data scientists, and analysts to shape the strategic direction of JPMorgan Chase insurance agency business ensuring AI is not an afterthought but the foundation upon which the business is built. 

As a Business Insurance Data Science Executive Director, within Data and Analytics Team, you will define the analytics and AI vision for a business being built from zero to one and partner closely with Insurance, Product, Distribution, and Technology leaders to architect AI-native capabilities that inform how we enter markets, design products, acquire and serve customers, and grow agency relationships. 

Job Responsibilities:

  • Define and execute the end-to-end analytics and AI strategy for the Business Insurance division, establishing the foundational data infrastructure, team structure, and analytical roadmap from inception with an AI-first orientation and architect AI-native solutions across the insurance value chain-ensuring that market entry strategy, agency distribution, product development, pricing, customer acquisition, and retention are powered by intelligent, data-driven systems from the outset. 
  • Partner with Insurance, Product, Marketing, and Technology leaders to translate business questions into analytical and AI-driven frameworks, delivering insights and automated capabilities that directly inform GTM decisions, product launches, and growth strategies. 
  • Design and deploy AI and machine learning models that support agency performance management, customer segmentation, cross-sell and upsell optimization, lifetime value estimation, and real-time decisioning. 
  • Identify and implement generative AI, agentic AI, and automation opportunities across the business-including intelligent document processing, conversational interfaces, content generation, and AI-assisted workflows for agents and customers. 
  • Design and implement measurement frameworks and experimentation programs (A/B testing, causal inference) to evaluate product-market fit, marketing effectiveness, and AI model performance. 
  • Develop competitive intelligence capabilities, leveraging internal and external data to benchmark performance, identify market white space, and inform strategic planning. 
  • Lead analytics and AI for customer experience, identifying friction points, optimizing digital and agent-assisted journeys through intelligent personalization, and delivering actionable recommendations to improve satisfaction and conversion. 

Required Qualifications, Capabilities, and Skills:

  • Master's or PhD in a quantitative field; 10+ years of analytics and AI experience 
  • Experience building and scaling analytics/AI teams from the ground up, including managing managers 
  • Deep expertise in machine learning, predictive modeling, experimentation, and statistical inference 
  • Track record of translating AI capabilities into measurable business outcomes 
  • Strong executive communication skills and ability to influence senior leadership 
  • Experience operating across product, marketing, distribution, and finance functions simultaneously 
  • Proficiency in Python and/or R, SQL, and cloud-based platforms (Snowflake, Databricks, or equivalent) 

Preferred Qualifications, Capabilities, and Skills:

  • Insurance, insurtech, or adjacent industry experience (lending, payments, wealth management) and building a business or function from zero to one in a greenfield environment 
  • Hands-on experience deploying generative AI, LLMs, RAG, or agentic AI into production and designing AI-first operating models and embedding AI into core business processes 
  • Knowledge of responsible AI, model governance, and insurance regulatory considerations and impacting AI adoption through change management and organizational enablement 
  • Familiarity with Agile delivery and modern product development practices 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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