Unlock Business Innovation as a Data Scientist
Drive business success with advanced data and AI strategies.
* Bolster business objectives with forward-thinking data strategies.
* Collaborate with stakeholders to identify opportunities for improvement through data-driven insights.
* Create, train, and validate sophisticated Generative AI and Machine Learning models.
* Maintain NLP and Generative AI model performance, ensuring accuracy and relevance.
* Evaluate pre-trained models to address specific challenges.
* Promote responsible AI practices, including data privacy, security, and bias mitigation.
* Develop actionable prediction and recommendation models.
* Collaborate with data engineers on efficient data pipelines.
* Manage data inventories and dictionaries, maintaining data quality and consistency.
* Inspire innovation by proposing solutions using Generative AI.
* Stay current with advances in AI, NLP, and emerging frameworks.
Requirements:
* Bachelor's degree in a technology-related field.
* Solid experience with Machine Learning algorithms, from design to deployment and automation.
* Proven track record developing Data Science solutions: optimization, classification, prediction, statistical analysis, and NLP.
* Hands-on experience with LLMs, RAG, and Generative AI (e.g., Amazon Bedrock).
* Strong proficiency in Python, statistics, and AI/ML frameworks.
* Advanced knowledge of relational (SQL Server, PostgreSQL) and non-relational databases.
* Experience with Databricks (Spark optimization, Delta Lake, MLflow).
* Familiarity with AWS services such as S3, Athena, Glue, SageMaker, and QuickSight.
* Experience implementing MLOps best practices.
* Advanced English communication skills.