GS
Datascientist-Technical Expert
GiantMind Solutions
Remote · India Contract Senior 1w ago
About the role
Position
Technical Expert‑Data scientist
Location
REMOTE
Experience
10 Years
Duration
Short term contract
Availability
at least 35 hrs per week
Responsibilities
- Agentic Oversight: Design and implement frameworks to guide, monitor, and validate the data outputs generated by agentic taskers to ensure they align with gold‑standard benchmarks.
- Methodology Development: Develop new methodologies to improve the performance of models through superior training data, including innovative approaches to data collection and insight generation.
- AI Integration: Utilize AI models and tools as integral components for evaluating, synthesizing, and understanding complex datasets to drive data quality.
- Cross‑Functional Partnership: Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams to define data excellence across the organization.
- Outcome Ownership: Solve ambiguous problems and influence stakeholders to ensure data intelligence outcomes directly support product and business objectives.
Preferred Qualifications
- Advanced Academic Background: PhD degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related domain.
- Extensive Analytical Experience: 10 years of experience using analytics to solve complex product or business problems, including querying databases and performing advanced statistical analysis.
- Technical Proficiency: Mastery of coding languages such as Python, R, or SQL for data manipulation, modeling, and automation.
- LLM & Agentic Expertise: Proven experience in evaluating, synthesizing, or validating datasets specifically for Large Language Models, with a focus on supervising automated or agent‑driven workflows.
- Strategic Leadership: Demonstrated ability to own high‑level decision‑making processes, solve ambiguous technical challenges, and influence diverse stakeholder groups.
- Domain Depth: Deep expertise in AI data lifecycles, from initial collection and labeling strategy to final validation and model integration.
Application
If interested, drop your CV to recruit@giantmindsolutions.com.
Requirements
- 10 years of experience using analytics to solve complex product or business problems, including querying databases and performing advanced statistical analysis.
- Mastery of coding languages such as Python, R, or SQL for data manipulation, modeling, and automation.
- Proven experience in evaluating, synthesizing, or validating datasets specifically for Large Language Models, with a focus on supervising automated or agent-driven workflows.
- Demonstrated ability to own high-level decision-making processes, solve ambiguous technical challenges, and influence diverse stakeholder groups.
- Deep expertise in AI data lifecycles, from initial collection and labeling strategy to final validation and model integration.
Responsibilities
- Design and implement frameworks to guide, monitor, and validate the data outputs generated by agentic taskers to ensure they align with gold-standard benchmarks.
- Develop new methodologies to improve the performance of models through superior training data, including innovative approaches to data collection and insight generation.
- Utilize AI models and tools as integral components for evaluating, synthesizing, and understanding complex datasets to drive data quality.
- Act as a critical technical partner, collaborating closely with Research, Engineering, and Product teams to define data excellence across the organization.
- Solve ambiguous problems and influence stakeholders to ensure data intelligence outcomes directly support product and business objectives.
Skills
AILLMMLPythonRSQL
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