Senior Data Scientist

Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. We are looking for an enthusiastic and technology-proficient Senior Data Scientist, who is eager to participate in design and implementation of a top-notch big data solution that will be deployed at a massive scale.
  

Responsibilities :  

• Design, develop, and oversee the implementation of processes and tools to assess the quality of data used in LLM model training.
• Create metrics and KPIs to evaluate data accuracy, consistency, and relevance.
• Work with Engineering teams to develop automated logic checks that will identify inconsistencies and potential issues in the training data.
• Lead the integration of quality processes into existing data pipelines.
• Collaborate with Data Scientists to scrutinize annotation data and develop strategies for continuous data quality improvement.
• Provide feedback loops and ensure alignment of data quality with annotation guidelines.
• Engage with Machine Learning Engineers to determine how data quality variations influence LLM model performance.
• Recommend adjustments to data collection, preprocessing, and utilization based on model performance analysis.
• Keep abreast of the latest trends and advancements in data quality management.
• Recommend and implement enhancements to our quality processes, tools, and methodologies based on industry best practices.

Requirements :  

• 7+ years of design/test/implementation/ consulting experience in data quality management for machine learning model training
• Strong understanding of machine learning principles, especially in the context of NLP and LLMs
• Fundamental knowledge in relevant programming languages and tools (e.g., Python, SQL)
• Demonstrated experience in project management and cross-functional collaboration
• Exceptional analytical, problem-solving, and organizational skills
• Proven ability to think strategically about business, product, and technical challenges
• Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports 
• Corporate social events
• Professional development opportunities