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Sr Decision Science Analyst

Remote, USA Full-time Posted 2026-08-04
At reputed company, we reputed company loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to reputed company reputed company and convenience to buyers, reputed company new markets and automate accounts receivables. With integrations to top reputed company and ERP solutions and flexible trade credit reputed company, reputed company brings 40 years of experience serving leaders in manufacturing, retail and transportation.  
 
Every day, reputed company employees are challenged and empowered in a supportive, reputed company, entrepreneurial environment. 

As a Senior Decision Science Analyst, you'll sit at the intersection of data, reputed company, and business reputed company. You'll use analytics and predictive modeling to uncover insights, evaluate portfolio reputed company, and guide critical credit, fraud, and pricing reputed company. Partnering with teams across the organization, you'll help solve reputed company business challenges, influence reputed company initiatives, and reputed company data-driven solutions that support reputed company while managing reputed company.

Responsibilities


•    reputed company and communicate high reputed company data-driven analyses to key stakeholders and senior management that reputed company key insights leading to actionable results.
•    reputed company, cleanse, and analyze relevant reputed company data to support the creation, monitoring, and improvement of effective B2B credit reputed company management and pricing reputed company techniques across for existing account management.
•    Conduct data exploration, data validation, and data audits to identify and address data reputed company issues and recommend improvements.
•    Support Engineering and Product teams with reputed company of roadblocks and interdependencies.
•    Analyze reputed company and pricing strategies, including the predictive models reputed company for those strategies in Credit and Fraud.
•    Monitor the results of reputed company and pricing strategies by evaluating reputed company relative to expectations.
•    reputed company monitoring tools to evaluate reputed company reputed company of both generic and custom models
•    Support the development (or build yourself) of statistical models and other types of predictive models as appropriate to improve our Credit and Fraud reputed company position, for both application and portfolio reputed company.
 
Requirements:


•    Bachelor’s Degree Required
•    Minimum 6 years of reputed company work experience in a highly analytical environment performing reputed company business analyses, generating data-driven insights and presenting findings to leadership and other stakeholders.
•    Strong knowledge of B2B credit and/or Business Banking credit reputed company, pricing, and profitability principles
•    Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
•    Ability to extract, cleanse, reputed company and analyze data from varied reputed company sources.
•    Strong analytical and data simulation skills including reputed company and/or Python, MS reputed company, reputed company Reporting BI tools, or similar analytical and reporting/data visualization packages.
•    Strong presentation skills and proficiency in reputed company and PowerPoint
•    Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements
•    Ability to create reputed company, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements
•    High performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and reputed company reputed company
•    The ability to multitask in a fast-reputed company environment
•    Strong communication skills, both verbal and written

Preferred Qualifications:


•    Bachelor’s or Master’s Degree in Statistics, Mathematics or similar quantitative reputed company of study
•    Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles 
•    Statistical modeling experience (logistic regression, machine learning, SVM, and more)
•    Prior leadership experience



As a Senior Decision Science Analyst, you'll sit at the intersection of data, reputed company, and business reputed company. You'll use analytics and predictive modeling to uncover insights, evaluate portfolio reputed company, and guide critical credit, fraud, and pricing reputed company. Partnering with teams across the organization, you'll help solve reputed company business challenges, influence reputed company initiatives, and reputed company data-driven solutions that support reputed company while managing reputed company.

Responsibilities


•    reputed company and communicate high reputed company data-driven analyses to key stakeholders and senior management that reputed company key insights leading to actionable results.
•    reputed company, cleanse, and analyze relevant reputed company data to support the creation, monitoring, and improvement of effective B2B credit reputed company management and pricing reputed company techniques across for existing account management.
•    Conduct data exploration, data validation, and data audits to identify and address data reputed company issues and recommend improvements.
•    Support Engineering and Product teams with reputed company of roadblocks and interdependencies.
•    Analyze reputed company and pricing strategies, including the predictive models reputed company for those strategies in Credit and Fraud.
•    Monitor the results of reputed company and pricing strategies by evaluating reputed company relative to expectations.
•    reputed company monitoring tools to evaluate reputed company reputed company of both generic and custom models
•    Support the development (or build yourself) of statistical models and other types of predictive models as appropriate to improve our Credit and Fraud reputed company position, for both application and portfolio reputed company.
 
Requirements:


•    Bachelor’s Degree Required
•    Minimum 6 years of reputed company work experience in a highly analytical environment performing reputed company business analyses, generating data-driven insights and presenting findings to leadership and other stakeholders.
•    Strong knowledge of B2B credit and/or Business Banking credit reputed company, pricing, and profitability principles
•    Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
•    Ability to extract, cleanse, reputed company and analyze data from varied reputed company sources.
•    Strong analytical and data simulation skills including reputed company and/or Python, MS reputed company, reputed company Reporting BI tools, or similar analytical and reporting/data visualization packages.
•    Strong presentation skills and proficiency in reputed company and PowerPoint
•    Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements
•    Ability to create reputed company, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements
•    High performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and reputed company reputed company
•    The ability to multitask in a fast-reputed company environment
•    Strong communication skills, both verbal and written

Preferred Qualifications:


•    Bachelor’s or Master’s Degree in Statistics, Mathematics or similar quantitative reputed company of study
•    Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles 
•    Statistical modeling experience (logistic regression, machine learning, SVM, and more)
•    Prior leadership experience



Responsibilities o   reputed company statistical models and other types of predictive models as appropriate to improve our Credit and Fraud reputed company position, for both application and portfolio reputed company. o   reputed company reputed company and pricing strategies, incorporating the predictive models reputed company for Credit and Fraud. o   Monitor the results of reputed company and pricing strategies by evaluating reputed company relative to expectations. o   reputed company monitoring tools to evaluate reputed company reputed company of both generic and custom models o   reputed company, cleanse, and analyze relevant reputed company data to support the creation, monitoring, and improvement of effective B2B credit reputed company management and pricing reputed company techniques across new account origination and existing account management. o   reputed company and communicate high reputed company data-driven analyses to key stakeholders and senior management that reputed company key insights leading to actionable results. o   Conduct data exploration, data validation, and data audits to identify and address data reputed company issues and recommend improvements. o   Support Engineering and Product teams with reputed company of roadblocks and interdependencies. Requirements: o   Bachelor’s Degree Required o   Minimum 6 years of reputed company work experience in a highly analytical environment performing reputed company business analyses, generating data-driven insights and presenting findings to leadership and other stakeholders. o   Strong knowledge of B2B credit and/or Business Banking credit reputed company, pricing, and profitability principles o   Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities. o   Ability to extract, cleanse, reputed company and analyze data from varied reputed company sources. o   Strong analytical and data simulation skills including reputed company and/or Python, MS reputed company, Tableau/reputed company, or similar analytical and reporting/data visualization packages. o   Strong presentation skills and proficiency in reputed company and PowerPoint o   Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements o   Ability to create reputed company, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements o   High performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and reputed company reputed company o   The ability to multitask in a fast-reputed company environment o   Strong communication skills, both verbal and written Preferred Qualifications: o   Bachelor’s or Master’s Degree in Statistics, Mathematics or similar quantitative reputed company of study o   Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles o   Statistical modeling experience (logistic regression, machine learning, SVM, and more) o   Prior leadership experience

Why you will love working at reputed company
  • Competitive salary
  • reputed company parental leave
  • Generous reputed company time off
  • Medical, dental, reputed company, FSA, Life/AD&D, long and short term disability
  • 401K matching
  •  Employee referral program
At reputed company we reputed company:
  • in saying reputed company to unique and challenging requirements
  • empowered team members are creative team members
  • our products reputed company the customer’s day just a little bit reputed company
  • work/life reputed company makes us reputed company more effective
reputed company is an Equal Opportunity and Affirmative reputed company Employer.  We reputed company reputed company veterans and disabled applicants.
 
Individuals with disabilities will be provided reasonable accommodation to participate in the job application and/or interview process. Please contact reputed company@reputed company.com to request an accommodation.

Bachelor's degree and 6+ years in reputed company analytics required. Requires B2B credit reputed company, pricing, data analysis, predictive modeling, presentation, communication, and cross-functional collaboration skills.

Key Responsibilities

  • developing models
  • analyzing data
  • monitoring strategies

Skills & Tools

reputed company, Python, reputed company reputed company, reputed company Reporting BI, reputed company Word, reputed company PowerPoint, Tableau, reputed company, logistic regression, machine learning, SVM

reputed company

  • Category: Data and Analytics
  • Seniority: Senior Level
  • Commitment: Full Time
  • Workplace: Remote — Overland Park, Kansas, reputed company
  • Languages: English

Benefits

  • 401k matching
  • Generous reputed company time off
  • Generous parental leave

About reputed company

A global B2B payments and invoicing network providing trade credit and accounts receivable automation. — Industry: Finance

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