Senior Data Scientist - Pharma

TheMathCompany Inc.; India; Presencial; INR 2.000.000 - 3.500.000; Jornada completa

Descripción de la vacante

TheMathCompany Inc. is seeking a Senior Data Scientist with 4–7 years of experience in Pharma or Life Sciences Commercial Analytics.

You will develop advanced analytics models, analyze diverse healthcare and market data, and collaborate with cross‑functional teams to drive commercial decision making. You'll build segmentation and forecasting models, design data pipelines, and create BI dashboards to communicate insights.

Formación

• Bachelor's or master's in data science, statistics, CS, math, engineering or related field.
• 4–7 years in Data Science focusing on Pharma or Life Sciences Commercial Analytics.
• Understanding of pharma commercial processes: sales analytics, marketing analytics, customer analytics, market performance.
• 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 for data extraction and manipulation.
• Experience with Tableau or Power BI for visualization.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is preferred.
• Understanding of Agile methodologies and Git is an advantage.

Responsabilidades

• Develop predictive and descriptive analytical models to support commercial objectives.
• Analyze large-scale healthcare, pharma, sales, claims, Rx, patient and market data for insights.
• Build models for segmentation, targeting, forecasting, next best action, 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 to communicate findings using BI tools.
• Monitor model performance and iterate based on business feedback.
• Work with data engineering, business consulting, and commercial excellence teams.
• Ensure data quality and governance compliance.

Educación

Bachelor's or master's degree in data science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline

Herramientas

Python

R

SQL

Tableau

Power BI

AWS

Azure

GCP

Descripción del empleo

Pharma - Commercial Analytics Pharma Python MMX/SSE/SSE2 Clinical Data Analysis Pharmaceutical

Job Description

Job Description:

We are looking for a highly motivated Senior Data Scientist with 4–7 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.
• 4–7 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.