Who you are:
- You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation
- You are self-motivated, and have demonstrated abilities to think independently as a data scientist
- You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand
- You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
- You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks
Key Responsibilities:
- Understand the business requirements and support the manager to translate those to analytical problem statements.
- Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding.
- Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task.
- Collaborate with cross-functional teams to design and implement solutions that meet business requirements.
- Present the findings to US DS stakeholders in a clear and concise manner and address feedback.
- Adopt a continuous learning mindset, both technical and functional.
- Develop deep expertise in therapeutic area, with clear focus on commercial aspects.
Minimum Qualifications:
- Bachelors degree with at least 0-3 years industry experience (experience requirement can be waived off for exceptional candidates)
- Strong Python/R, SQL, Excel skills
- Strong foundations of statistics and machine learning
Preferred Qualifications:
- Advanced degree in STEM (MS, MBA, PhD)
- 1-3 years experience in healthcare analytics and consulting
- Familiarity with Physician and Patient-Level data (eg, claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc)
- Experience in HCP & Patient Level Data analytics (eg, HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc)
- Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku
Required Skills:
- Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model
