About the role
Pay: $30.00 to $30.00 per hour
Description
Alexander Group: The Go-to-Market Consulting Leaders
Alexander Group provides go-to-market consulting services to marketing, sales, service and talent leaders. With over 40 years of developing practical, executable solutions, we are singularly focused on helping commercial teams unlock their full potential and reach new revenue goals. With a robust network of offices, Alexander Group maximizes growth opportunities for our clients around the globe.
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 Data Science practice.
Responsibilities:
Support consulting teams and clients by understanding business problems, providing data-driven insights and developing data-driven solutions
Develop, prototype, test and deploy machine learning solutions on wide ranging types of data sets, ranging from a few data points to billions
Advise teams with data acquisition, extraction, transformation, management 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
Support the use of automated Alexander Group internal tools for project-related analytics
Help standardize/ consolidate modeling approaches for Alexander Group service offerings
Support Data Science practice development (e.g., new tools and methods, case studies, onboarding)
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 and unsupervised machine learning 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)
Salary: $30/hour
EEO Employer. Desired Work Eligibility: Eligible to work in the U.S. with no current or future restrictions or visa sponsorship (including STEM-OPT). Only TN visas are acceptable.