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Tier-1 brand plus common early-mid data science profile increases candidate competition.
Core ML and data skills are transferable, though pharma domain experience is advantageous.
Requires explicit 2+ years and specific Python, SQL, and ML skills, making filters moderately strict.
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Develop and deliver predictive and classification models using machine learning and statistical algorithms for commercial pharma projects.
Analyze large datasets from diverse sources to generate actionable insights and support decision-making.
Manage project delivery with structured documentation, maintain SOPs and quality checklists, and engage with internal customers across multi-channel marketing analytics and predictive analytics projects.
Minimum 2 years of experience in Data Science, including Python, SQL, Excel, time series analysis, and Machine Learning.
Strong foundation in statistics, predictive analytics, machine learning, and deep learning algorithms.
Bachelor’s degree in a related field required.
Experience working across time zones and collaborating with global teams; excellent verbal and written communication skills.
Experienced individual contributor capable of applying machine learning and statistical methods to commercial pharma datasets.
Skilled in managing projects with structured communication and documentation, ensuring quality outputs.
Comfortable interacting with senior associates, internal customers, and international teams across Marketing, Sales, and Data Enablement.