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Data Science Professional
3 weeks ago
We are seeking an experienced Data Science Leader to spearhead our data-driven initiatives.
The ideal candidate will have a strong background in quantitative fields and expertise in machine learning techniques, including LMs (Llama, T5, Falcon) and predictive modeling.
Key responsibilities include developing project plans, coordinating with stakeholders, creating data pipelines, ensuring data quality, conducting EDA, feature engineering, and defining performance metrics prior to running relevant ML/DL algorithms.
Core Responsibilities:
- Lead a team of Data Engineers, Analysts, and Data Scientists
- Connect with internal/external partners to understand business requirements
- Coordinate with relevant stakeholders to gather data artifacts and hypotheses
- Create project plans and sprints for milestones/deliverables
- Develop and optimize data pipelines for effective data ingestion
- Ensure data quality through proactive checks and resolve gaps
- Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms
- Research existing solutions before building ML models
- Develop optimized data models to query relevant data efficiently
- Run ML/DL algorithms for business goals
- Optimize and validate ML/DL models for scalability
- Develop applications, simulators, and scenario builders for business consumption
- Test and integrate codes pre-production for possible bugs and resolve these bugs proactively
- Operationalize models in client ecosystems
- Document project artifacts and log failures and exceptions
- Measure impact on business metrics and refine workflow based on feedbacks