Data Scientist (Remote)
Our client is looking for aData Scientistto support the development and implementation of advanced data and AI strategies.
The ideal professional is passionate about data-driven innovation and eager to work with cutting-edge technologies in Machine Learning and Generative AI.
Key Responsibilities
Develop and implement data strategies to support business objectives and innovation.
Collaborate with business and technology teams to identify opportunities for data-driven improvements.
Design, train, and validateGenerative AIandMachine Learningmodels.
Monitor and optimizeNLPandGenerative AImodel performance to ensure accuracy and relevance.
Evaluate and fine-tune pre-trained models to address specific business challenges.
Ensure data privacy, security, and bias mitigation in AI models.
Build prediction and recommendation models, providing actionable insights.
Collaborate with data engineers to design efficient data pipelines.
Maintain data inventories and dictionaries, ensuring data quality and consistency.
Drive innovation by proposing improvements and new business solutions using Generative AI.
Stay current with advances in AI, NLP, and emerging frameworks.
Promote adata-driven culturewithin cross-functional teams.
Requirements
Bachelor's degree in a technology-related field.
Solid experience withMachine Learning algorithms, from design to deployment and automation.
Proven background developing Data Science solutions: optimization, classification, prediction, statistical analysis, and NLP.
Hands-on experience withLLMs,RAG, andGenerative AI(e.g., Amazon Bedrock).
Strong proficiency inPython,statistics, andAI/ML frameworks.
Advanced knowledge ofrelational(SQL Server, PostgreSQL) andnon-relational databases.
Experience withDatabricks(Spark optimization, Delta Lake, MLflow).
Familiarity withAWSservices such as S3, Athena, Glue, SageMaker, and QuickSight.
Experience implementingMLOpsbest practices.
Advanced English(verbal and written).
Nice to Have
Expertise inBig Dataand advanced use ofDatabricksto accelerate AI and analytics initiatives.
Research or projects published inNLPorGenerative AIfields.