As a, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:
LLM//Agentsandtraditional AI/ML
Build prototypes and scalable AI/ML solutions that will be integrated into software productsC
Lead more junior data scientistandCollaborate with software engineers, business stakeholders and product owners in an Agile environment
Have complete ownership of model outcomes and drive continuous improvement
Essential Requirements
Proficient withwriting sophisticated, clean, andobject orientedPythoncodeStrong background in math, statistics, andmachine Learning knowledge (deep learning, NLP,classification,forecasting,regression)
Professional experience in ML model deploymentin production
Ability to work with internal stakeholders to transfer business questions intodata scienceproblem statements
Ability to effectively communicate data science progress to non-technical internal stakeholders.
Ability toplay the technicallead/ architect role for
Desirable Requirements
Master’s or PhD in a quantitative discipline.
Professional experience with LLM/Agentic technologies
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