Data Scientist - II

MathCo; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

MathCo is seeking a highly motivated Data Scientist with 2–4 years of experience in the pharmaceutical or life sciences domain, focusing on commercial analytics. The role involves building predictive models, analyzing large healthcare datasets, and delivering actionable insights to optimize sales, marketing, and market access strategies.

The position requires strong ML, statistics, and data engineering collaboration, with proficiency in Python/R and SQL, plus experience with BI tools like

Qualifications

• Bachelor's or master's degree in data science, statistics, CS, mathematics, engineering, or related quantitative field.
• 2–4 years of Data Science experience with Pharma/Life Sciences Commercial Analytics.
• Strong understanding of pharmaceutical commercial processes (sales/marketing/customer analytics).
• Hands-on experience with ML algorithms, statistics, and predictive modeling.
• Proficiency in Python or R and SQL for data analysis and model development.

Responsibilities

• Develop predictive and descriptive analytical models to support commercial objectives.
• Analyze large healthcare and market data to uncover business insights.
• Build ML/statistical models for segmentation, forecasting, and campaign effectiveness.
• Design data pipelines, feature engineering, and model validation processes.
• Collaborate with stakeholders to translate business problems into analytics solutions.
• Create dashboards and visualizations using BI tools.

Skills

Analytical skills

Problem solving

Communication

Teamwork

Education

Bachelor's or Master's in data science/Statistics/CS/Math/Engineering

Tools

SQL

R

Python

Tableau

Power BI

Spark/PySpark

Databricks

AWS

Azure

GCP

Job description

We are looking for a highly motivated Data Scientist with 2-4 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:

• Bachelor's or master's degree in data science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.
• 2-4 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:

• SQL
• R (preferred)
• Statistical Modeling
• 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 MathCo's 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 India's Best Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023 by Great Place to Work® India.