Data Scientist-II

Job Description:

We are looking for a highly motivated Data Scientist with 24 years of experience in the pharmaceutical or life sciences domain specializing in commercial analytics. The ideal candidate will leverage advanced analytics statistical modeling and machine learning techniques to generate actionable insights that support commercial decision-making including sales marketing market access and customer engagement.

Key Responsibilities:

• Develop predictive and descriptive analytical models to support commercial business objectives.
• Analyze large-scale healthcare pharmaceutical sales claims prescription (Rx) patient and market data to uncover business insights.
• Build machine learning and statistical models for customer segmentation targeting forecasting next best action and campaign effectiveness.
• Design and implement data pipelines feature engineering and model validation processes.
• Collaborate with commercial stakeholders to translate business problems into analytical solutions.
• Create dashboards and visualizations to communicate findings effectively using BI tools.
• Monitor model performance and recommend improvements based on business feedback.
• Work with cross-functional teams including data engineering business consulting and commercial excellence teams.
• Ensure data quality documentation and adherence to data governance standards.

Required Qualifications:

• Bachelors or masters degree in data science Statistics Computer Science Mathematics Engineering or a related quantitative discipline.
• 24 years of experience in Data Science with a focus on Pharma or Life Sciences Commercial Analytics.
• Strong understanding of pharmaceutical commercial processes including sales analytics marketing analytics customer analytics and market performance measurement.
• Hands-on experience with machine learning algorithms statistical analysis and predictive modeling.
• Proficiency in Python or R for data analysis and model development.
• Strong SQL skills for data extraction and manipulation.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with cloud platforms (AWS Azure or GCP) is preferred.
• Understanding of Agile methodologies and version control tools such as Git is an advantage.

Technical Skills:

• Python (Pandas NumPy Scikit-learn)
• SQL
• R (preferred)
• Machine Learning
• Statistical Modeling
• Data Visualization (Tableau/Power BI)
• Spark or PySpark (preferred)
• Databricks (preferred)
• Cloud Platforms (AWS Azure or GCP)

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to present complex analytical findings to non-technical audiences.
• Strong collaboration and teamwork skills.
• Self-driven with the ability to manage multiple priorities.

Nice to Have:

• Experience working with IQVIA Symphony Health Veeva Komodo Health or similar healthcare datasets.
• Exposure to Generative AI NLP or MLOps.
• Knowledge of healthcare compliance and data privacy regulations.
• Contribute to organizational growth through capability building mentoring hiring thought leadership and driving engineering excellence initiatives across the practice.

Being a Mathemagician:

• Embody MathCos culture and way of working.
• Demonstrate ownership and strive for excellence in delivering results.
• Actively engage and contribute to initiatives fostering company growth.
• Support diversity and appreciate different perspectives.

Recognitions:

• Positioned as a Leader in Top Generative AI Service Providers PeMa Quadrant 2023 by AIMResearch.
• Recognized among Inspiring Workplaces in North America 2023.
• Accredited for Inclusive Practices by Great Place to Work Institute India.
• Recognized among Indias Best Workplaces for Diversity Equity Inclusion & Belonging 2023 by Great Place To Work India.

Required Experience:

IC