Senior Data Scientist

Job Description :

Responsibilities :

- Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.

- Create data-driven deliverables and visualizations to support customer engagements and business decision-making.

- Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.

- Collaborate with global and cross-functional teams to design and implement optimized data solutions.

- Develop scalable tools such as solution workbenches and automated reporting systems.

- Scope, prioritize, and independently handle client requests with minimal supervision.

- Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.

- Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.

- Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications :

- 3- 5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL and Python.

- Proven expertise in healthcare data, particularly claims analytics, familiarity with pharma datasets is mandatory.

- Strong programming skills in Python, including data manipulation, wrangling, and analysis using libraries such as pandas, NumPy, and scikit-learn.

- Advanced proficiency in SQL for working with large, complex relational datasets.

- Comfortable working with large-scale data and able to assess existing processes to identify opportunities for improvement.

- Sound knowledge of statistics, data modeling, and predictive analytics.

- Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical findings.

- Strong interpersonal, communication, and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.

- Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic environment.