About the job
Lead Data Science Expert Role We are seeking a Lead Data Science Expert to oversee end-to-end AI solutions and ensure customer success. Key Responsibilities: Design and build proof-of-concept GenAI and ML models using Python, the Abacus platform, and various data science libraries. Contribute to end-to-end data science projects, including data exploration, feature engineering, model development, evaluation, and iteration. Collaborate with sales and solutions teams to support pre-sales activities with deep technical expertise and product demonstrations. Implement, test, and optimize models on the Abacus platform, incorporating feedback from stakeholders. Required Skills: Proficiency in Python and experience with data science libraries (pandas, numpy, scikit-learn, LangChain). Hands-on experience with LLMs, prompt engineering, RAG systems, or similar GenAI technologies. Solid understanding of ML algorithms, model training, and evaluation. Strong communication skills to explain complex concepts to diverse audiences. Preferred Qualifications: Knowledge of MLOps practices and tools. Previous experience in customer-facing roles or technical sales support. Familiarity with enterprise software environments. Experience with demo automation and presentation tools.
Requirements
- Python
- data science libraries
- ML algorithms
- communication skills
Qualifications
- MLOps practices
- customer-facing experience
- enterprise software knowledge
- demo automation experience
Preferred Technologies
- Python
- data science libraries
- ML algorithms
- communication skills
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