Principal Data Scientist - CX

Lead data science initiatives that drive business profitability, increased efficiencies, and improved customer experience. This role assists in developing advanced analytics infrastructure to inform decision-making by leveraging expertise in both business and advanced analytics modeling techniques. Principal Data Scientists identify opportunities to use data science as a competitive advantage, lead large projects, mentor team members, and contribute to intellectual property through innovative algorithms.

Responsibilities

• Solution Development (25%)
  • Design and develop algorithms and models to extract business insights from large datasets.
  • Select, utilize, and interpret advanced analytics methodologies.
  • Communicate insights and recommendations to technical and non-technical stakeholders.
  • Test alternative methodologies and cutting-edge algorithms to deliver improved solutions.
• Project Management & Team Support (20%)
  • Collaborate with project teams and business partners to define project goals.
  • Provide direction on work prioritization and ensure quality.
  • Mentor junior team members to enhance their technical competencies.
  • Support recruiting and hiring efforts for the team.
  • Serve as a technical subject matter expert for predictive and prescriptive data science methods.
• Business Collaboration (20%)
  • Leverage business knowledge to shape solution approaches.
  • Build trust and collaboration with internal customers and cross-functional teams.
  • Educate technical and non-technical partners on advanced analytics.
  • Identify IT needs to support successful project execution.
  • Actively seek new business opportunities to leverage data science as a competitive advantage.
• Technical Exploration & Development (35%)
  • Stay current with key developments in data science, technical skills, and data sources.
  • Develop replicable solutions (e.g., codified data products, documentation) for future projects.
  • Define best practices for data analysis and model productionalization.
  • Support the creation of cutting-edge algorithms as intellectual property.
  • Demonstrate and share technical expertise through conferences, speaking events, and publications.
  • Act as a thought leader in prescriptive modeling techniques (e.g., optimization, computer vision, recommendation, search, NLP).
  • Network with academic and industry experts to advance data science applications.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Bachelor’s degree in a field related to the job (e.g., Computer Science, Math, Statistics) or equivalent experience.
• 10+ years of experience in business intelligence and analytics.

Qualifications

• Preferred Education: PhD in a quantitative field (e.g., Computer Science, Math, Statistics) or equivalent work experience.
• Technical Skills:
  • Expertise in a modern scripting language (preferably Python).
  • Experience running queries against data (preferably Google BigQuery or SQL).
  • Advanced knowledge of Microsoft Office Suite.
  • Expertise in data visualization software (preferably Tableau).
  • Proficiency in prescriptive modeling (e.g., optimization, computer vision, recommendation, search, NLP).
  • Mastery in predictive modeling, data mining, and statistical techniques to solve business problems.
• Leadership & Collaboration:
  • Experience leading large data science projects and mentoring team members.
  • Ability to collaborate with cross-functional teams and business partners.
  • Strong communication skills for both technical and non-technical audiences.

Schedule

• Typically requires overnight travel less than 10% of the time.
• Primarily office-based with frequent opportunities to move about.
• Rare need to move or lift light articles.