About the position
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 1,000 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 our recommendations. Our dedication to sales strategy and revenue growth 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 Commercial Data Scientist is a hybrid business/data-science role that will collaborate with cross-functional teams, learning from both their direct peers in Alexander Group’s Data Science function and from more business-oriented peers in the firm’s general consulting practice. This role will be client-facing – the Commercial Data Scientist will work with project teams to present and interpret statistical analyses and models in business contexts. The 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 Data Science function and the ability to engage with senior leadership enables the Commercial Data Scientist to enjoy outstanding professional growth and career opportunities. This role will report to the leader of the Data Science practice. The firm’s culture, built on teamwork and meritocracy, empowers our professionals to support each other in their career development.
Responsibilities
- Create, apply, and interpret advanced statistical and machine learning approaches to solve a variety of business problems through client projects
- Serve as data and modeling SME on client projects – advise on data preparation, enrichment, model architecture, integration, etc.
- Understand client business problems and context in detail and design solutions in alignment with project objectives and in collaboration with broader consulting team
- Communicate project findings, conclusions and recommendations to your peers
- Participate in and lead portions of client meetings to review and present analytical approaches and modeling results, answer questions and discuss feedback
- Contribute to general project needs and deliverables such as status updates, meeting content and project handoff/implementation materials
- In addition to assigned projects, support consulting teams engaged with big data environments as needed
- Help standardize/consolidate modeling approaches to support optimization of Data Science project delivery
- Support Data Science practice development and participate in team meetings (e.g., new service offerings, content curation, trainings, etc.)
Requirements
- Bachelor’s degree with record of solid academic achievement (Analytics, Economics, Data Science, Statistics, Business or other relevant fields)
- 3+ years of relevant professional experience
- Ability to execute responsibilities with a high degree of independence
- Knowledge of supervised & unsupervised machine learning algorithms for regression/classification
- Proficiency with open-source data science languages – Python required, R also preferred
- Experience with Data Visualization tools like PowerBI or Tableau
- Moderate to advanced Excel and PowerPoint skills are preferred
- Familiarity with corporate data architectures and tools such as DB/warehousing is a plus
- Moderate foundation of business knowledge (Sales and Marketing experience ideal)
- Ability to manage multiple priorities/projects
- Strong interpersonal, team working skills and 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 for internal team and in-person client meetings (sometimes on short notice)
Benefits
- Salary: $110,000 base; bonus eligible
