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Senior Data Science Lead
2 weeks ago
We are seeking a skilled professional to lead our data science initiatives.
- Must have a graduate degree in a quantitative field such as computer science, statistics, or applied mathematics.
- Strong programming skills in Python with experience working with numerical and data analysis frameworks.
- Experience with large language models and knowledge of their evolution history, training data creation, and fine-tuning.
- Familiarity with interpreting research papers and architecture diagrams of language models.
- Comfortable working with techniques such as transfer learning, adversarial training, and predictive modeling.
The successful candidate will be responsible for:
- Leading a team of data engineers, analysts, and scientists to carry out various activities.
- Connecting with stakeholders to understand business requirements.
- Coordinating with stakeholders to gather data artifacts and hypotheses.
- Creating project plans and sprints for milestones and deliverables.
- Synthesizing clusters for data science workflows.
- Designing data pipelines to ingest data effectively.
- Ensuring data quality through proactive checks and resolving gaps.
- Carrying out exploratory data analysis, feature engineering, and defining performance metrics.
- Researching existing solutions before building ML models.
- Creating optimized data models to query relevant data efficiently.
- Running ML and DL algorithms for business goals.
- Optimizing and validating ML and DL models for scalability.
- Creating applications, simulators, and scenario builders for business consumption.
- Testing codes pre-production for bugs and resolving them proactively.
- Integrating and operationalizing models in client ecosystems.
- Documenting project artifacts and logging failures and exceptions.
- Measuring and articulating the impact of DS projects on business metrics.
