Data Scientist III (Behavioral Marketing Analytics & Customer Insights)

Quick Facts

Role: Data Scientist III (Behavioral Marketing Analytics & Customer Insights). Work schedule: Standard (Mon–Fri). Work environment: Office.

Description

Apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across the enterprise, with a focus on behavioral marketing analytics and customer insights. Develop and deploy sophisticated data science solutions to improve operational efficiency and enhance decision-making. Work collaboratively to use advanced technologies while contributing to healthcare and scientific innovation.

Responsibilities

• Translate complex business problems into analytical solutions.
• Develop and deploy machine learning and AI models and data science solutions.
• Build data pipelines and support ETL processes for analytics and modeling.
• Create dashboards and visualizations to communicate insights.
• Use statistical analysis, experimental design, and hypothesis testing to drive decisions.
• Present technical concepts to non-technical stakeholders.
• Apply modern DevOps practices and version control for data science delivery.

Requirements

• Advanced degree plus 3 years of experience, or Bachelor’s degree plus 5 years of experience in data science and machine learning.
• Preferred fields of study: Data Science, Computer Science, Statistics, Mathematics, or related quantitative field.
• Advanced proficiency in Python, R, and SQL.
• Expertise with scikit-learn, TensorFlow, and PyTorch.
• Strong knowledge of AWS/Azure and big data technologies (Spark, Databricks).
• Experience with Power BI and/or Tableau, including dashboard development.
• Proficiency in statistical analysis, experimental design, and hypothesis testing.
• Demonstrated ability to translate business problems into analytical solutions.
• Experience with ETL and data pipeline development.
• Knowledge of DevOps practices and Git.
• Strong communication skills for presenting to non-technical stakeholders.
• Ability to work independently and collaboratively.
• Strong problem-solving skills and attention to detail.
• Excellent project management and organizational abilities.
• Willingness to stay current with emerging technologies and industry trends.

Benefits

• Estimated salary range (California): $95,900–$127,800.
• May be eligible for a variable annual bonus.
• Comprehensive Total Rewards package: national medical/dental/vision plans, health incentive programs.
• Employee assistance and family support programs, commuter benefits, and tuition reimbursement.
• At least 120 hours paid time off (PTO), 10 paid holidays, paid parental leave (3 weeks bonding, 8 weeks caregiver).
• Accident and life insurance; short- and long-term disability.
• 401(k) retirement savings plan and ESPP (stock purchase at discount) for eligible colleagues.
• Additional benefits details available via the company Total Rewards page.