Associate Commercial Data Scientist

Summary

Alexander Group provides management consulting services to leading organizations, focusing on revenue growth and actionable insights. The Associate Commercial Data Scientist will work client-facing with project teams to apply statistical methods and machine learning algorithms, interpret data in business contexts, and communicate findings to stakeholders.

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 Alexander Group internal tools for project-related analytics
• Help standardize/consolidate modeling approaches for Alexander Group service offerings
• Support Commercial Analytics practice development (e.g., analytical trainings, new offering development, etc.)

Skills

• Bachelor's degree with 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)

Qualifications

Must Haves

• Bachelor's degree with 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)

Benefits

• Bonus eligible