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Credit Risk Data Science Jobs in Alabama (NOW HIRING)

... risk. * Interpret an extensive variety of technical instructions in mathematical or diagram form ... Bachelor's degree in Mathematics, Science, Engineering, Computer Science, Data Science, Statistics ...

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Credit Risk Data Science information

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 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.
What are popular job titles related to Credit Risk Data Science jobs in Alabama? For Credit Risk Data Science jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Alabama look for? The top searched job categories for Credit Risk Data Science jobs in Alabama are:
What cities in Alabama are hiring for Credit Risk Data Science jobs? Cities in Alabama with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist / Analytics Lead

Trideum Corporation

Huntsville, AL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Senior Data Scientist / Analytics Lead
Full-time
Huntsville, AL

About Us

Trideum Corporation is a 100% employee-owned company, committed to embracing the world’s toughest challenges with a servant’s heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.

Position Summary

As the Data Scientist and Analytics Lead, you will serve as the principal architect for data traceability and advanced analytics in support of the Army Materiel Command (AMC) Chief Technology Officer (CTO). In this critical advisory role, you will design the robust analytical models required to transform raw operational data into actionable leadership insights. Your work will empower enterprise senior leaders with the analytical depth and strategic frameworks necessary to make informed, defensible decisions regarding technology investments, pilot programs, and digital modernization initiatives.

You will lead the development of a comprehensive suite of enterprise-level assessments, establishing a continuous, disciplined evaluation framework that serves as a single source of truth for the organization. By integrating advanced analytics, artificial intelligence pipelines, and operational dashboards into enterprise systems, you will create a highly traceable record of evidence that directly aligns technology initiatives with strategic mission priorities. This position is ideal for an expert who thrives on translating complex technical ecosystems into clear, executive-ready decision support products.

What You’ll Do

Responsibilities include, but are not limited to:

  • Design and implement advanced analytical models that transform raw operational and technical data into actionable leadership insights.
  • Establish and maintain data traceability methodologies to ensure a disciplined linkage from source data and assumptions through to final leadership recommendations and decisions.
  • Develop and integrate artificial intelligence (AI) pipelines and operational dashboards within enterprise platforms, such as Army Vantage, to provide real-time decision support and consumption tracking.
  • Define rigorous success criteria, precise data requirements, and Key Performance Indicators (KPIs) for emerging technology pilot programs before they are initiated.
  • Conduct comprehensive, repeatable assessments measuring technical maturity, operational efficiency, feasibility, cyber risk, and program alignment across the technology portfolio.
  • Produce high-level executive decision support products, including formal options papers, executive memoranda, briefing decks, and recurring portfolio dashboards.
  • Provide the analytical rigor required to evaluate technology sandbox initiatives and establish standardized metrics for post-evaluation After-Action Reviews (AARs).

Requirements and Qualifications

  • Bachelor’s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).
  • Extensive proven experience functioning as a principal data architect or analyst, specifically designing models that translate complex data into executive-level insights.
  • 10+ years of relevant professional experience.
  • Expertise in languages like Python, R, and SQL; data visualization software like Tableau, Power BI, or Qlik; and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics.
  • Strong background in establishing data traceability methodologies and evidence-based decision support frameworks for large-scale enterprise environments.
  • Experience defining operational metrics, Key Performance Indicators, and strict success criteria for technology pilots, software applications, or capability assessments.
  • Exceptional ability to produce executive-ready communication products, briefing materials, and strategic documentation for senior leadership.
  • Demonstrated ability to build, deploy, and manage artificial intelligence pipelines and comprehensive operational dashboards.
  • U.S. citizenship and an active Secret security clearance with the ability to obtain/maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.

Desired Qualifications

  • Master’s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).
  • Familiarity with the Army Materiel Command mission, including broader Department of War Supply Chain and Organic Industrial Base (OIB) operations.
  • Deep understanding of assessment frameworks utilized to measure technical debt, application lifecycle health, and overall enterprise architecture fit.
  • Prior experience providing direct advisory support to a Chief Technology Officer, Chief Information Officer, or similar enterprise-level executive function.
  • Direct experience developing models or dashboards within Army Vantage or similar Department of War enterprise data platforms.
  • Knowledge of technology sandbox environments, safe testing protocols, and "test-before-network" evaluation frameworks.

We Take Care of Our People

Whether you’re looking to launch a new career or grow an existing one, Trideum is the type of company where you can balance great work with great life because we believe that taking care of our people is the right thing to do. Trideum offers:

  • Competitive pay based on the work you do here and not your previous salary.
  • Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.
  • Employee Stock Ownership Plan (ESOP).
  • Paid leave and the ability to cash out leave.
  • Free access to certified financial planners, wellness and support services, and discount programs.
  • Education assistance and professional development opportunities.
  • And much more.

Ready to Apply?

Start Your Application now!

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Trideum may request such accommodation(s) by contacting Human Resources at 256.704.6123 or HR@trideum.com.


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About Trideum

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Huntsville, AL, US

Year founded

2005

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