Job 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 design go-to-market strategy—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 Position Overview: 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 function 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 function 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 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 • 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 • 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 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: $90,000-$100,000 base; 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 Salary Description Base Salary: $90,000-100,000; Bonus eligible

Requirements

Must-haves

Alexander Group: The Go-to-Market Consulting Leaders
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
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
Help standardize/ consolidate modeling approaches for Alexander Group service offerings
Support Data Science practice development (e.g., new tools and methods, case studies, onboarding)
Bachelor’s degree with record of solid academic achievement
1+ years of relevant professional experience
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
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

Nice-to-haves

Coursework in Mathematics, Economics, Data Science, Statistics, or Computer Science strongly preferred
Moderate to advanced Excel and PowerPoint skills are preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gomachine learningpython

Platform: paylocity
Effort: medium