Lead Data Scientist- Omnichannel

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.

Requirements

• 8+ years of relevant Data Science experience with a deep focus on US Pharmaceutical Marketing.
• Campaign Optimization: Proven track record in optimizing non-personalized, multichannel, and Omnichannel (HCP/Patient) marketing strategies.
• Journey Analytics: Deep understanding of Patient & Customer Journey mapping, media performance attribution, and behavioral segmentation.
• Advanced Analytics: Expertise in foundational ML (Regression, Classification, Optimization) with a nuanced understanding of statistical assumptions and limitations.
• Production-Grade Code: Proficiency in writing modular, scalable, and bug-free Python.
• The Data Stack: High proficiency in SQL and experience navigating Big Data environments (Spark, Hive, or Hadoop).
• MLOps & Cloud: Hands-on experience with version control (Git), containerization (Docker), and cloud ecosystems (AWS, Azure, or GCP)
• Stakeholder Influence: Ability to lead high-stakes analytics engagements and translate complex data findings into 'so-what' insights for senior leadership.
• Communication: Exceptional presentation skills, capable of driving strategic conversations and building consensus across diverse organizational teams.
• Growth Mindset: A proactive hunger to learn emerging technologies and adapt to the evolving healthcare data landscape.

Benefits

• Excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
• Equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.