Data Scientist, AIML Data Scientist

About This Role

This role involves leading analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to optimize task design. The Senior Data Scientist will translate behavioral insights and empirical findings into optimized project structures and workflows, applying quantitative rigor to capacity planning and optimization. This ensures projects are smarter in design, faster in execution, and uncompromising in quality, partnering closely with Data Ops Client Engagement, Human Factors engineering, and annotation customers.

Responsibilities

• Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development
• Evaluate which tasks and data types benefit most from automation and work with customers to optimize against
• Translate behavioral insights and empirical trends into optimized project structures, ensuring annotation workflows are designed for both efficiency and quality before projects launch
• Partner with cross-functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure
• Contribute to capacity forecasting and optimization by converting quantitative decision-making into forecast drivers and scenarios
• Identify key factors that lead to improving productivity and quality
• Contribute to development of a holistic view of analyst behaviors across various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains

Requirements

• Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field
• 4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
• Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization
• Mastery in SQL-based languages, and proficiency in at least one large-scale data language
• Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R

Nice to have:

• Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field
• Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations
• Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization
• Passion for AIML and Operations, with a consistent track record of operational results