Data Scientist Talent Network

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist Talent Network based in India.** This opportunity is designed for experienced data scientists who want to contribute their expertise to the development and evaluation of advanced AI systems. Qualified professionals may be considered for future projects involving real-world data science tasks and AI-generated outputs. You may work across exploratory data analysis, statistical modeling, machine learning, experimentation, feature engineering, and technical reporting. The role emphasizes rigorous evaluation, evidence-based judgment, and the ability to assess complex technical work against clearly defined standards. You will have the opportunity to collaborate with experienced reviewers and contribute feedback that helps improve the quality and capabilities of next-generation AI systems. Projects are fully remote and structured to provide flexibility around your schedule and availability. This is a strong opportunity for data scientists who enjoy analytical problem-solving and want to apply their expertise to emerging AI technologies. ### Accountabilities: - Participate in future data science projects involving the evaluation, assessment, or improvement of AI-generated and human-created technical work. - Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical models, machine learning pipelines, experimentation and A/B testing work, feature engineering, notebooks, and technical reports. - Evaluate data science outputs against established criteria, ensuring assessments are technically rigorous, consistent, and evidence-based. - Review analytical approaches, statistical reasoning, modeling decisions, experimental designs, and conclusions for accuracy and quality. - Provide detailed written explanations supporting evaluation scores, clearly identifying strengths, weaknesses, errors, and areas for improvement. - Apply consistent and defensible judgment when assessing complex or ambiguous technical work. - Ensure evaluations are reproducible by grounding assessments in objective evidence and clearly defined standards. - Incorporate structured feedback from senior reviewers and refine evaluations based on established calibration guidelines. - Translate complex technical findings into clear, well-structured written feedback. - Contribute subject-matter expertise to projects focused on training, evaluating, and enhancing advanced AI systems. - Adapt to project-specific evaluation frameworks and responsibilities as priorities and requirements evolve. ## Requirements - 1+ years of professional experience in data science or a closely related analytical field. - Experience working in a leading technology, research, quantitative, AI, or similarly rigorous environment is highly valued. - Strong proficiency in Python and SQL, with the ability to work confidently with complex and messy real-world datasets. - Strong knowledge of statistical modeling, machine learning, experimentation, and causal inference. - Demonstrated ability to conduct rigorous exploratory data analysis and translate findings into actionable conclusions. - Experience developing or evaluating machine learning pipelines, feature engineering approaches, experiments, statistical analyses, or technical reports. - Exceptional written communication skills, with the ability to explain complex technical concepts and findings clearly and precisely. - Strong analytical judgment and a highly detail-oriented approach to reviewing technical work. - Ability to identify methodological issues, inconsistencies, unsupported conclusions, and technical inaccuracies. - Ability to apply evaluation standards consistently while exercising sound professional judgment when requirements are ambiguous. - Comfortable receiving feedback, calibrating judgment against established standards, and iterating on submitted work. - Strong independent working skills and the ability to manage project responsibilities remotely. - Ability to maintain objectivity and focus on evidence when evaluating technical deliverables. ## Benefits - Fully remote opportunity that can be completed from India. - Flexible schedule, allowing you to manage project work around your own availability. - Opportunity to contribute to projects supporting the development and improvement of advanced AI systems. - Exposure to cutting-edge applications of AI, machine learning, data science, and human-in-the-loop evaluation. - Opportunity to collaborate with experienced researchers, reviewers, and other technical professionals. - Competitive compensation based on services rendered. - Weekly payments through Stripe or Wise. - Potential for projects to be extended, shortened, or concluded early depending on project needs and performance. - Independent contractor engagement providing flexibility across project opportunities. - Opportunity to apply your data science expertise to challenging evaluation and analytical problems. - Work that focuses on professional expertise without requiring access to confidential or proprietary information from previous employers, clients, or institutions. - Referral opportunity offering up to **$600 for each successful referral**, subject to applicable restrictions. - Opportunity to help shape the development of next-generation AI systems through rigorous data science expertise. - Please note that H-1B and STEM OPT candidates cannot be supported at this time.