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Associate Commercial Data Scientist

12/2/2025

The Associate Commercial Data Scientist will support teams engaged with big data environments and create, apply, and interpret advanced statistical and machine learning approaches. They will also participate in client meetings to present analytical approaches and interpret results.

Working Hours

40 hours/week

Company Size

51-200 employees

Language

English

Visa Sponsorship

No

About The Company
Alexander Group is a leading management consulting firm that accelerates revenue growth through customized strategy. Since 1985, Alexander Group’s customized methodologies and data-driven insights have helped over 3,000 sales, marketing and service organizations achieve success. Guided by our three core values—teamwork, collaboration and innovation—we deliver global expertise from planning through execution. Our specialties include go-to-market strategy, revenue operations, talent operations, sales compensation, customer segmentation, organizational design and digital transformation. These capabilities drive measurable impact across industries, including business and financial services, distribution, healthcare, life sciences, manufacturing, media and consumer technology, private equity and technology. Learn more about our services and offerings at www.alexandergroup.com.
About the Role

Description

  

Alexander Group: Decades of experience growing revenue for global companies


Alexander Group provides management consulting services to the world’s leading organizations. When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most importantly, results.


Founded in 1985, we’ve served more than 3,000 companies around the world, across all industries. This experience gives us not only a highly sophisticated set of best practices to grow revenue — we also have a rich repository of industry data that informs all of our recommendations.


Our dedication to revenue growth and sales strategy has led to:

  • More than 70% of our clients being Fortune 500 corporations
  • Project work in more than 25 countries
  • Extensive industry experience in B2B markets

The Associate Commercial Data Scientist will work with multiple teams during their first months of employment, learning from both their direct peers in AGI’s Commercial Analytics function and from more business-oriented peers in AGI’s general practice. 


This role will be client-facing – the Associate Commercial Data Scientist will work with project teams to present and interpret statistical analyses in business contexts. The Associate Commercial Data Scientist will be expected to interpret and tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions to client problems, have strong communication skills to communicate project findings to both internal and external stakeholders, and participate in client meetings.


The combination of on-going coaching from the Commercial Analytics function and the ability to engage with senior leadership enables the Associate Commercial Data Scientist to enjoy outstanding professional growth and career opportunities. This role will report to AGI’s leader of Consulting Services. The firm’s culture, built on teamwork and meritocracy, empowers our professionals to support each other in their career development.


Responsibilities:

  • Support teams engaged with big data environments
  • Create, apply, and interpret advanced statistical & machine learning approaches
  • Advise teams with data preparation and model-building best-practices
  • Use and develop communication skills to communicate project findings, conclusions and recommendations with your peers and clients
  • Participate in client meetings to review and present analytical approaches and interpret results
  • Build, rollout, and support the use of automated AGI internal tools for project-related analytics
  • Help standardize / consolidate modeling approaches for AGI service offerings
  • Support Commercial Analytics practice development (e.g., analytical trainings, new offering development, etc.)

Requirements

  

  • Bachelor’s degree with record of solid academic achievement
  • 1+ years of relevant professional experience
  • Coursework in Mathematics, Economics, Data Science, Statistics, or Computer Science strongly preferred
  • Knowledge of supervised & unsupervised machine learning algorithms for regression / classification
  • Proficiency with open-source data science languages like R or Python      
  • Experience with Data Visualization tools like PowerBI or Tableau
  • Moderate to advanced Excel and PowerPoint skills are preferred
  • Ability to manage multiple priorities / projects
  • Problem solving skills for business problems
  • Strong interpersonal and team working skills
  • Good communication skills (written and verbal)
  • Ability to learn quickly and resourcefully
  • High degree of motivation, flexibility and creativity
  • Positive attitude and strong willingness to learn from mentors and peers
  • Ability to travel (sometimes on short notice)

 Compensation: $80,000 base; bonus eligible 


EEO Employer. Desired Work Eligibility: Eligible to work in the U.S. with no current or future (including STEM-OPT) restrictions or visa sponsorship

Key Skills
Data ScienceMachine LearningStatistical AnalysisBig DataData VisualizationRPythonExcelPowerPointProblem SolvingCommunicationTeamworkInterpersonal SkillsFlexibilityCreativityMotivation
Categories
Data & AnalyticsConsultingTechnology
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