Data Scientist

Title: Data Scientist

Location: Remote

Duration: 6+ months

Job Description

Analyze customer/patient engagement across multiple communication channels

Responsibilities:

Strong programming experience in Python, with the ability to build, evaluate, and deploy machine learning and data science solutions using modern Python libraries and frameworks.

Must Haves:

• SQL
• Python
• Stats
• ML
• AI

Pluses:

·       PySpark

·       A/B Testing

·       LLM/Gen AI

Senior Data Scientist – Job Overview

• Level/Experience:
  • Requires 7+ years of experience
  • Looking for a more senior, hands-on contributor
• Core Skillsets:
  • Strong background in A/B testing, statistics, and experimental design
  • Experience with machine learning and modeling
  • NLP / text data experience is a strong plus
• Technical Stack:
  • Primary: Python, Snowflake, Databricks
  • Nice-to-have: PySpark
  • Future environment may include Google Cloud Platform tools (migration planned around early 2027)
• Key Responsibilities:
  • Analyze customer/patient engagement across multiple communication channels, including:
    • Call center data
    • SMS/text messaging
    • App-based interactions (chatbots, digital engagement)
  • Generate insights to improve customer communication and experience
  • Partner closely with cross-functional business teams
• Soft Skills:
  • Strong communication skills required
  • Ability to translate complex technical concepts to non-technical stakeholders
• Additional Notes:
  • This role will not be directly involved in the Google Cloud Platform migration, but should be adaptable to a changing tech environment

Day to Day:

The Retail Rx Consumer Analytics team is seeking a high-impact data scientist to join the Patient Engagement & Innovation Portfolio. In this role, you’ll partner with data scientists and data engineers to enhance the Retail Pharmacy’s outbound messaging strategies to support key business and financial objectives. This position focuses on leveraging our vast retail pharmacy data, experimentation, and advanced analytics to improve prescription adherence, increase pickup rates, reduce returns to stock, and enhance the overall patient experience across outbound communication channels. You will play a critical role in translating business questions into analytical solutions, measuring performance through well‑defined KPIs, and communicating insights that inform strategy and decision‑making. Qualified candidates will have a Bachelors‑ degree (Masters preferred) in a quantitative field with 7+ years of relevant work experience in a Data Science role.

Patient Engagement & Innovation Portfolio

• Translate stakeholder business requirements into well-scoped analytics approaches and synthesize large‑scale data into actionable strategies.
• Support development of machine learning models, experiment analysis, and creating presentations for technical and non-technical stakeholders

Overview of Tools: Patient Engagement & Innovation Portfolio

• Strong programming skills in SQL with the ability to extract impactful insights.
• Hands-on programming experience in Python (PySpark is a plus), with data analysis, and building and deploying machine learning models.
• Solid foundation in statistics, experiment design, A/B testing, causal analysis.
• Excellent communication and presentation skills, with the ability to communicate technical concepts to a non-technical audience
• Experience with prompt engineering, LLMs, Gen AI tools and products is a strong plus