Manager Data Science

• Designs machine learning systems and software to automate predictive model
• Transforms data science prototypes and applying appropriate ML algorithms and tools
• Develops ML algorithms to analyze large volumes of historical data to make predictions
• Establishes and manages the close relationship with customers/stakeholders
• Selects analytical techniques and model methods best to solve business problems
• Ensures best practices sharing and cross the organization
• Enables delivery of data-analytics and data science projects. Have deep knowledge of the companys supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies)
• Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem
• Understands the customer/stakeholders business needs/priorities and helps building solutions that support our business goals
• Participates in community of practice leveraging experience from delivering complex analytics projects

Skills

• Machine Learning
• Generative AI
• NLP
• Prompt Engineering
• Software Development
• Testing
• Software Development Lifecycle (SDLC)
• Design Applications
• AWS / GCP / Azure
• Data Engineering

Specializations

• AI/ML (Machine Learning, Data Engineering, Data Science)
• Gen AI

Minimum Qualifications:

• Bachelor s degree with 5-7 years industry experience
• Proficiency in Python/R & SQL
• Experience in healthcare analytics or consulting sectors
• Experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc
• Experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (eg, creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc)
• Experience in leading small sized teams
• Strong Python/R, SQL, Excel skills
• Strong foundations of statistics and machine learning

Preferred Qualifications:

• Advanced degree in STEM (MS, MBA, PhD)
•  Experience in Oncology /Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics
• Knowledge of statistics, data science and machine learning & commercial pharma
• Experience of supporting End to End Project Management

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model