Note: The job is a remote job and is open to candidates in USA. Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. They are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced machine learning models and Generative AI solutions that transform the digital workplace experience.
Responsibilities
- Design, build, and deploy production-grade ML models with end-to-end pipelines and MLOps best practices to ensure scalability, reproducibility, and continuous improvement
- Lead the design and deployment of GenAI solutions leveraging LLMs, RAG, prompt engineering, and fine-tuning to build intelligent assistants, conversational agents, and knowledge retrieval tools
- Analyze large-scale datasets using statistical methods and advanced analytical frameworks to uncover actionable patterns and measure AI/ML impact
- Partner cross-functionally to deliver high-impact AI/ML use cases—including predictive analytics, anomaly detection, and workflow automation—across enterprise digital workplace platforms
- Serve as a subject matter expert in ML and GenAI, mentoring team members, driving actionable business recommendations, and contributing to responsible AI governance frameworks
Skills
- 5+ years of hands-on experience delivering production-level ML/AI solutions with strong expertise in Generative AI, LLMs, RAG architectures, and prompt engineering
- Advanced proficiency in Python, ML/AI frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain), NLP techniques, SQL, and large-scale data platforms (Databricks, Spark, BigQuery)
- Hands-on experience with MLOps practices (model versioning, CI/CD, experiment tracking, monitoring) and cloud platforms (Azure, AWS, GCP) and their AI/ML services
- Strong foundation in statistics, probability, and experimental design with the ability to apply rigorous analytical methods to real-world problems
- Excellent storytelling and communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders
- Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Computational Linguistics, or a related quantitative field
- Master's degree or Ph.D. in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Computational Linguistics, or a related quantitative field
- Experience with vector databases (Pinecone, Weaviate, FAISS), AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel), and enterprise AI platforms such as Azure OpenAI Service or Azure Machine Learning
- Knowledge of digital workplace technologies (Microsoft 365, ServiceNow, endpoint management) with experience in enterprise telemetry and application usage analytics
- Familiarity with responsible AI principles and explainability techniques (SHAP, LIME), with experience building real-time inference systems and deploying models via APIs and microservices
- Experience with computer vision or multi-modal AI, prior work in healthcare or enterprise IT environments, and relevant cloud AI/ML certifications (Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer)
Benefits
- Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
- Eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
- Benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Company Overview