What are the responsibilities and job description for the Senior Data Scientist position at Grid Dynamics?
Description
Position at Grid Dynamics
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 :
What we offer :
About Us : Grid Dynamics (Nasdaq : GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe. To learn more about Grid Dynamics, please visit www.griddynamics.com . Follow us on Facebook , Twitter , and LinkedIn .
