Independently create, apply and interpret advanced statistical and machine learning approaches to solve a variety of business research problems through research projects
Serve as data and modeling subject matter expert – advise on data preparation, enrichment, model architecture, integration, etc.
Understand go-to-market research problems and context in detail and design solutions in alignment with project objectives and in collaboration with cross-functional stakeholders
Communicate project findings, conclusions and recommendations to your peers
Participate in and lead portions of key stakeholder meetings (internal and client-facing) 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 research report materials
Help standardize/consolidate modeling approaches to support optimization of research project delivery
Support the Advanced Analytics practice development and participate in team meetings (e.g., new research methodology, content curation, trainings, etc.)
Manage development and career progression of Advanced Analytics team members, including job design, promotion track, and informal and formal feedback

Requirements

Full authorization to work in the United States without current or future visa sponsorship requirements (TN visa accepted)
Bachelor’s and/or Master’s degree with a strong record of academic achievement in a quantitative field, such as mathematics, economics, statistics, data science, or computer science
7+ years of relevant professional experience, including at least 2+ years managing direct reports
Demonstrated applied experience building advanced statistical and predictive models in a business or consulting environment
Strong working knowledge of supervised and unsupervised machine learning techniques for regression and classification problems
Proficiency in open-source data science programming languages, with Python required and R preferred
Experience using data visualization and business intelligence tools such as Power BI or Tableau
Ability to execute responsibilities with a high degree of independence and sound professional judgment
Excellent interpersonal, collaboration, and communication skills (written and verbal)
Comfortable presenting complex analytical findings to senior and executive audiences, including strong executive-level storytelling capabilities
Proven ability to manage multiple priorities and projects simultaneously in a fast-paced environment
High degree of motivation, adaptability, creativity, and resourcefulness, with the ability to learn quickly
Positive attitude and demonstrated willingness to learn from mentors and peers
Ability to travel infrequently for in-person meetings, as needed

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

advanced statistical modelingmachine learningdata preparationmodel architecturesupervised machine learningunsupervised machine learningpredictive modelingdata visualizationbusiness intelligencePython

Soft Skills

interpersonal skillscollaborationcommunication skillsexecutive-level storytellingproject managementadaptabilitycreativityresourcefulnessindependencemotivation