Tiger Analytics is looking for experienced Data Scientists to join their fast-growing advanced analytics consulting firm, enabling Fortune 500 companies to generate business value from data by solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions.
Requirements
- Expertise in foundational ML (Regression, Classification, Optimization) with a nuanced understanding of statistical assumptions and limitations.
- Proficiency in writing modular, scalable, and bug-free Python.
- High proficiency in SQL and experience navigating Big Data environments (Spark, Hive, or Hadoop).
- Hands-on experience with version control (Git), containerization (Docker), and cloud ecosystems (AWS, Azure, or GCP)
- Proven track record in optimizing non-personalized, multichannel, and Omnichannel (HCP/Patient) marketing strategies.
- Deep understanding of Patient & Customer Journey mapping, media performance attribution, and behavioral segmentation.
Responsibilities
- Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.
- Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.
- Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.
- Develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools.
- Leverage analytical skills to ensure business value and communicate the results.
Other
- 8+ years of relevant Data Science experience with a deep focus on US Pharmaceutical Marketing.
- Ability to lead high-stakes analytics engagements and translate complex data findings into "so-what" insights for senior leadership.
- Exceptional presentation skills, capable of driving strategic conversations and building consensus across diverse organizational teams.
- A proactive hunger to learn emerging technologies and adapt to the evolving healthcare data landscape.
- Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life
