Associate Commercial Data Scientist

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 Alexander Group’s Commercial Analytics practice and from more business-oriented peers in Alexander Group’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 practice 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 Alexander Group’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 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.)

Qualifications:

• 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)

Compensation: $80,000 base; bonus eligible

EEO Employer. Desired Work Eligibility: Must be fully authorized to work in the U.S. with no current or future restrictions (including STEM-OPT) or sponsorship. Alexander Group does not provide visa sponsorship. TN visa is acceptable