Data Scientist/AI Engineer
PAY:$97-102/hour W2. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance. Remote Role no expectation of onsite work W2 candidates only
Overview
- We are seeking a highly motivated Data Scientist to join the Global Data & Digital Innovation (GDDI) organization within the pharmaceutical commercial domain. This role focuses on building data science and AI-driven solutions, including predictive patient event modeling, Next Best Action (NBA) engines for HCP engagement, and GenAI-powered decision agents to enhance commercial effectiveness.
- The ideal candidate will combine strong machine learning expertise with experience in GenAI agent development and scalable ML pipelines, enabling actionable insights for stakeholders across GDDI, Sales, Marketing, Sales Analytics, and Advanced Analytics functions.
- A successful candidate will be able to Delivering scalable AI/ML and GenAI solutions that drive commercial insights. Able to enable smarter, real-time decision-making for Sales and Marketing teams.
- Will be responsible for successfully deploying GenAI agents and production-grade ML pipelines
- Becoming a trusted partner within the Global Data & Digital Innovation organization
Required Qualifications
- Master’s or PhD in: Data Science,Computer Science, Statistics, Operations Research, Mathematics or a related quantitative discipline
- 5-7+ years (Master’s) or 3-5+ years (PhD)
- Core Data Science
- Python (preferred) or R
- SQL
- Strong understanding of Machine learning algorithms (supervised/unsupervised learning), Statistical analysis and experimental design, GenAI & Modern AI Stack
- Hands-on experience with Large Language Models (LLMs) and GenAI frameworks, Prompt engineering and RAG architecture, Agent-based AI systems (e.g., LangChain, MCP, A2A, AutoGen)
- Familiarity with Vector databases and embeddings, API-based AI integrations, and ML Engineering / MLOps
- Experience Overseeing ML pipelines (training → deployment → monitoring)
- Tools such as Databricks, Azure ML, AWS SageMaker
- Model deployment, REST APIs, containerization (Docker)
- CI/CD pipelines for ML systems
- Ability to build apps for demo purposes using Databricks
- Experience with BI tools (Power BI, Tableau)
- Pharmaceutical commercial domain experience, including: Patient journey and longitudinal data analysis, HCP targeting and segmentation.
- Omnichannel marketing analytics and campaign optimization
Who We Are: The Fountain Group is a nationwide staffing firm with over 80 Fortune 100-500 clients. Since 2001, TFG has maintained a consistent standard of excellence, and our work is broadly recognized every year through numerous industry performance awards. Our success is a team effort. Browse our website below for additional information on our company. The Fountain Group 3407 W Martin Luther King Jr. Dr. Tampa, FL 33607 “We work in Life Sciences, Clinical, Engineering, IT, and more. Above all, we specialize in people.” By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy