Senior Data Scientist

Key Skills

Analytical and Problem solving, Data pipelines, Data science techniques, Design, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Planning and organization, Python Programming, SQL

Job Description

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

What we offer:

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Full benefits including but not limited to medical, dental, vision
• Corporate social events
• Professional development opportunities

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.