Lead Data Scientist

Themathcompany; United States; Hybrid; USD 3,600 - 7,300; Full time

Job summary

TheMathCompany in Bengaluru seeks a Lead Data Scientist Pharma Analytics to spearhead client-facing analytics engagements and deliver advanced AI/ML solutions for global pharmaceutical organizations.

You will lead a team of data scientists, apply marketing mix, forecasting, and optimization, and collaborate with Pharma Commercial, Marketing, Brand, Sales, Market Access, and Strategy teams to drive measurable impact.

Qualifications

• 8-11 years of experience in data science with pharma analytics.
• Expertise in Pharma Commercial Analytics and Marketing Analytics.
• Strong hands-on experience in Python and SQL.
• Experience leading client-facing analytics engagements.
• Ability to translate complex business problems into scalable analytics solutions.

Responsibilities

• Partner with stakeholders to understand business challenges and translate them into analytics solutions.
• Design and deliver scalable data science and analytics solutions.
• Lead end-to-end analytics projects from problem definition through deployment and impact measurement.
• Develop predictive models, forecasting solutions, ML algorithms, and optimization frameworks.
• Drive insights with statistical modelling, ML, segmentation, forecasting, and performance analytics.
• Present actionable recommendations to senior client stakeholders.
• Lead, mentor, and develop a team of Data Scientists and Analysts.
• Conduct technical solution reviews and mentoring sessions.
• Drive adoption of best practices across DS/AI/ML/Cloud delivery.
• Ensure high-quality and timely project execution.
• Collaborate with Pharma Commercial, Marketing, Brand, Sales, Market Access, and Strategy teams.
• Participate in capability building, proposal development, and client presentations.

Skills

Machine Learning

Predictive Modeling

Statistics

Hypothesis Testing

Feature Engineering

Model Validation

Forecasting

Power BI

Tableau

AWS

Azure

GCP

Tools

Power BI

Tableau

AWS

Azure

GCP

Job description

Lead Data Scientist Pharma Analytics

Location: Bengaluru

Experience: 8-11 Years

About MathCo TheMathCompany (MathCo) is a global Enterprise AI and Analytics company helping Fortune 500 and Global 2000 organizations solve complex business problems through AI, advanced analytics, and decision intelligence solutions. Through its proprietary platform NucliOS, MathCo enables connected intelligence and faster business impact across industries.

Role Overview:

1.We are hiring a Lead Data Scientist Pharma Analytics to lead client-facing analytics engagements and deliver advanced AI/ML solutions for global pharmaceutical organizations.

2.The ideal candidate will possess deep expertise in Pharma Commercial Analytics, Marketing Analytics, Marketing Mix ModellingMachine Learning, Advanced Analytics, and Data Science delivery, with strong hands-on experience in Python, SQL, Cloud technologies, and pharma datasets.

3.The role requires balancing technical excellence, stakeholder management, and team leadership while translating complex business problems into scalable analytics solutions.

Key Responsibilities:

Analytics & Solution Delivery

• Partner with business stakeholders and clients to understand business challenges and translate them into analytical solutions.
• Design and deliver scalable data science and advanced analytics solutions.
• Lead end-to-end analytics projects from problem definition through deployment and impact measurement.
• Develop predictive models, forecasting solutions, machine learning algorithms, and optimization frameworks.
• Drive insights generation through statistical modelling, machine learning, segmentation, forecasting, and performance analytics.
• Present actionable recommendations and storytelling-driven insights to senior client stakeholders.

Team Leadership:

• Lead, mentor, and develop a team of Data Scientists and Analysts.
• Conduct technical solution reviews, code reviews, and mentoring sessions.
• Drive adoption of best practices across Data Science, AI/ML, Cloud, GenAI, and Analytics delivery.
• Ensure high-quality and timely project execution.

Client Engagement

• Collaborate closely with Pharma Commercial, Marketing, Brand, Sales, Market Access, and Strategy teams.
• Participate in solution design, capability building, proposal development, and client presentations.
• Build strong relationships with senior stakeholders and act as a trusted analytics advisor.

Required Skills (Must Have)

Core Technical Skills

• Advanced proficiency in Python
• Advanced proficiency in SQL

Strong expertise in:

• Machine Learning
• Predictive Modeling
• Statistics
• Hypothesis Testing
• Feature Engineering
• Model Validation
• Forecasting

Data Visualization:

• Power BI (Preferred)
• Tableau (Alternative)

Cloud exposure in at least one:

• AWS
• Azure
• GCP