Senior Director, Data Science

Role Description

An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation.

• Tech. Problem Formulation:
  • Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding.
  • Collaborate with multiple business stakeholders to understand complex organizational problems.
  • Design multi-stage, data-driven solutions to real-world problems.
  • Redefine data analytics, big data analytics, automation goals, and deliverables.
  • Identify return on investment.
• Understanding Business Context:
  • Requires knowledge of Industry and environmental factors; Common business vernacular.
  • Evaluate proposed business cases for projects and initiatives.
  • Translate business requirements into strategies, initiatives, and projects.
  • Build and articulate the business case and return on investment.
  • Mentor team members on new business insights.
• Analytical Modeling:
  • Requires knowledge of feature relevance and selection; Exploratory data analysis methods.
  • Develop standard EDA process and best practices on experimentation.
  • Create industry-leading performance by leveraging new data sources.
  • Scope, design, and implement new machine learning models.
• Model Assessment and Validation:
  • Requires knowledge of model fit testing, tuning, and validation techniques.
  • Identify and review model evaluation metrics based on analytical requirements.
• Model Deployment and Scaling:
  • Requires knowledge of impact of variables and features on model performance.
  • Deploy models and ensure sustainability and maintenance over time.
• Code Development and Testing:
  • Requires knowledge of coding languages like SQL, Java, C++, Python.
  • Create test cases to review and validate proposed solution design.
• Data Visualization:
  • Requires knowledge of Visualization guidelines and best practices.
  • Generate appropriate graphical representations of data and model outcomes.
• Data Strategy:
  • Requires knowledge of understanding of business value and relevance of data.
  • Leverage experiences to inform and influence data strategy.

Qualifications

• PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field.
• 10 years' experience in data science, machine learning, optimization models, or related field.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• 8 years' experience using open source frameworks (e.g., scikit learn, tensorflow, torch).
• 5 years' supervisory experience.

Requirements

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7 years' experience in an analytics related field.
• Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
• 9 years' experience in an analytics or related field.
• 3 years' supervisory experience.

Benefits

• Competitive pay and performance-based bonus awards.
• Health benefits include medical, vision, and dental coverage.
• Financial benefits include 401(k), stock purchase, and company-paid life insurance.
• Paid time off benefits including PTO, parental leave, family care leave, and more.
• Short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program for associates.
• Annual salary range for this position is $160,000.00 - $320,000.00.
• Additional compensation includes annual or quarterly performance bonuses and stock options.