Senior Data Scientist / AI/ML
Tasks
- Build machine learning deep learning and NLP solutions
- Create forecasting and next best action models
- Develop marketing sales medical commercial analytics models
- Develop omnichannel analytics and segmentation solutions
- Drive automation using reusable code and scalable analytics
- Ensure governance compliance quality and SLAs
- Implement generative AI and LLM proof of concepts
- Lead project execution and deliver results to stakeholders
- Maintain reusable assets SOPs and quality frameworks
- Partner with client analytics teams to deliver analytics and AI solutions
- Support recruitment onboarding mentoring and knowledge sharing
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bayesian Models | CNN | Chatbots | Classification | Clustering | Customer Segmentation | Databricks | Deep learning | Docker | Entity recognition | Feature Engineering | Forecasting | GCP | Generative AI | Git | Hadoop | Hive | Information Extraction | LLMOps | LSTM | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | NLP | Named Entity Recognition | Next Best Action | Omnichannel analytics | Power BI | Project Management | Promotion Effectiveness | Prompt engineering | PySpark | Python | Qlik | Question Answering | R | RNN | ROI analysis | Recommendation Systems | Regression | Responsible AI | Retrieval-Augmented Generation | SAS | SQL | Semantic Search | Spark | Tableau | Text Mining | Time Series | Transformer | Vector Databases
Education
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