Associate Commercial Data Science Intern

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 Intern will work with multiple teams during their internship, learning from both their direct peers in Alexander Group’s Commercial Analytics function and from more business-oriented peers in Alexander Group’s general practice. This role will be client-facing – the Associate Commercial Data Scientist Intern will work with project teams to present and interpret statistical analyses in business contexts. The Associate Commercial Data Scientist Intern will be expected to interpret & 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 internship will feature ample opportunities for career development and growth – allowing participants to learn both about statistical methods and their real-world business applications. This role will report to Alexander Group’s leader of Consulting Services and work closely with Alexander Group’s Commercial Analytics CoE.

Responsibilities:

• Support teams engaged with big data environments
• Apply and interpret advanced statistical & machine learning approaches
• Advise teams with data preparation and model-building tasks
• 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
• Support the use of automated Alexander Group internal tools for project-related analytics
• Help consolidate modeling approaches for Alexander Group service offerings
• Support Commercial Analytics practice development (e.g., analytical trainings, new offering development, etc.)

Requirements

• Pursuit of a Bachelor’s Degree with solid academic achievement
• Coursework in Mathematics, Economics, Data Science, Statistics, or Computer Science strongly preferred
• Entry-level knowledge of supervised & unsupervised ML algorithms for regression/classification
• Entry-level proficiency with open-source data science languages like R or Python
• Entry-level experience with Data Visualization tools like PowerBI or Tableau
• Moderate 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: $30/hour

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