Senior Specialist, Data Science

We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models) and has hands on experience on building Gen AI based applications and systems.

It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders.

Key Responsibilities

• Selects analytical techniques and model methods best to solve business problems
• Ensures best practices sharing and cross the organization
• Enables delivery of data-analytics & Gen AI projects. Have deep knowledge of the company's 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
• Leads & Participates in community of practice leveraging experience from delivering complex analytics projects.
• 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

Skills

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

Specializations

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

Minimum Qualifications:

• Bachelors degree with 9+ years industry experience
• Proficiency in Python & SQL
• Experience in healthcare analytics or consulting sectors
• Experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.)
• Experience in leading small - mid sized teams
• 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
• 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