Associate Commercial Data Scientist

Location: New York

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About Alexander Group

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. 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

Role Overview

The Associate Commercial Data Scientist will work with multiple teams during their first months of employment, learning from both direct peers in AGI’s Commercial Analytics function and from business‑oriented peers in AGI’s general practice. This role will be client‑facing – the Associate Commercial Data Scientist will present and interpret statistical analyses in business contexts, tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions, communicate project findings to stakeholders, and participate in client meetings.

The combination of on‑going coaching and senior leadership engagement enables outstanding professional growth and career opportunities.

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 convey project findings, conclusions, and recommendations to 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 Power
  
  BI 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

Base: $80,000; 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.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Engineering and Information Technology

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