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Credit Risk Data Science Jobs in Canton, OH (NOW HIRING)

Senior Product Manager - Commercial AI

OH · On-site +1

$105K - $139K/yr

Serve as connective tissue across Commercial, IT, Data Science, and Product - translating ... customer risk, and market intelligence. * Establish operating models supporting rapid ...

Senior Product Manager - Commercial AI

OH · Remote

$129K - $170K/yr

Serve as connective tissue across Commercial, IT, Data Science, and Product - translating ... customer risk, and market intelligence. * Establish operating models supporting rapid ...

Sr Cloud Data Engineer

Akron, OH · On-site

$142.64/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree (or equivalent work experience) in Computer Science, Engineering, Information ... Strong problem‑solving and risk management capabilities. Level of Physical Demands * Minimal, may ...

New

Sr Cloud Data Engineer

Akron, OH · On-site

$49.78 - $74.68/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree (or equivalent work experience) in Computer Science, Engineering, Information ... Strong problem-solving and risk management capabilities. Level of Physical Demands: a. Minimal, may ...

New

Pharmacovigilance Expert

Akron, OH · Remote

$70 - $80/hr

Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ... Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent)

Showing results 41-60

Credit Risk Data Science information

See Canton, OH salary details

$34.6K

$106.4K

$184.5K

How much do credit risk data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for credit risk data science in Canton, OH is $106,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $131,300.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What job categories do people searching Credit Risk Data Science jobs in Canton, OH look for?

The top searched job categories for Credit Risk Data Science jobs in Canton, OH are:

What cities near Canton, OH are hiring for Credit Risk Data Science jobs?

Cities near Canton, OH with the most Credit Risk Data Science job openings:

Senior Product Manager - Commercial AI

Hexion, Inc.

OH • On-site, Remote

$105K - $139K/yr

Full-time

Re-posted 9 days ago


Hexion rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

74th of 100 rated chemical manufacturers


Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Role Mission
Drive revenue growth, margin expansion, and commercial productivity through AI-enabled capabilities across Hexion's commercial engine. Lead discovery, prioritization, delivery, and adoption of AI solutions across Sales, Pricing, Marketing, Customer Service, and Market Intelligence - enabling Hexion to win more, price smarter, and serve customers faster.
Job Responsibilities
  • Define and execute a commercial AI strategy aligned to Hexion's growth objectives; identify and commercialize AI use cases that directly impact revenue, margin, and customer experience.
  • Lead enterprise deployment of AI/ML across commercial workflows: dynamic pricing guidance, intelligent account prioritization, churn/mix erosion prediction, and LLM/NLP-based win-loss and market signal intelligence.
  • Own architecture and delivery of scalable commercial AI platforms: CRM-embedded AI copilots, pricing engine and CPQ integrations, and client-facing self-service portals.
  • Lead end-to-end change management for every initiative - stakeholder mapping, SOP/workflow redesign, training playbooks, adoption dashboards, and office hours for commercial teams.
  • Own Commercial AI portfolio intake, prioritization, and governance cadence: use-case councils, quarterly roadmap balancing quick wins with longer-horizon bets, and KPI value tracking reported to executive sponsors.
  • Serve as connective tissue across Commercial, IT, Data Science, and Product - translating commercial needs into scalable AI solutions and ensuring business ownership of outcomes.
  • Manage strategic vendors, technology partners, and external AI solution providers; ensure alignment with enterprise AI standards for responsible AI, data policy, and compliance.
  • Build commercial AI fluency programs and communities of practice - helping frontline teams trust AI-assisted insights on pricing, customer risk, and market intelligence.
  • Establish operating models supporting rapid experimentation and disciplined delivery; mentor cross-functional teams and foster a culture of accountability, innovation, and execution.
  • Ensure AI solutions are production-grade, explainable, and trusted by frontline commercial teams; build reusable solution patterns to accelerate cross-functional deployment.
  • Partner with executive leadership to translate AI investments into sustained commercial growth; present transparent roadmap and forecast vs. realized value to executive sponsors.

Knowledge, Skills, Attributes and Experience (KSAEs
  • 10+ years in commercial transformation, digital/product, analytics/AI, revenue operations, consulting, or commercial excellence roles.
  • Proven track record leading cross-functional transformation and driving adoption - not just building models or tools.
  • Strong product thinking: ability to define user journeys, requirements, MVP scope, and scale path for AI solutions.
  • Solid understanding of GenAI/ML capabilities and delivery patterns (RAG, copilots, agentic workflows, MLOps) sufficient to partner effectively with technical teams.
  • Experience with governance, portfolio prioritization, KPI measurement, and executive-level communication.
  • Demonstrated change leadership: training, communications, operating model/process redesign, and stakeholder alignment.
  • High level of proficiency with ERP particularly SAP
  • CRM and commercial stack familiarity: Salesforce/Dynamics, CPQ, pricing tools, marketing automation, customer service platforms. (Preferred)
  • Experience commercializing or scaling AI-enabled products/platforms; vendor evaluation and partner management for AI solutions. (Preferred)

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

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