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Data Scientist - Python (Remote)

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Remote · Full Time

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Experience
Any
Salary
Openings
1
Posted
1 week ago
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Work from home
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Job description

Role Overview

We are seeking a Data Scientist skilled in Python for a full-time remote position. The successful candidate will be responsible for developing and maintaining high-quality Python code that trains and optimizes AI models, performing evaluations to benchmark and improve their performance. Collaboration with researchers and annotators will be key to implementing reinforcement learning using human feedback and enhancing reward models.

Key Responsibilities

  • Create, design, and support efficient, high-standard code for AI model training and optimization.
  • Perform performance evaluations of AI models and analyze results to drive model improvements.
  • Assess and rank AI model responses to user queries across various fields ensuring they meet established standards.
  • Provide detailed reasoning and technical explanations for evaluations demonstrating clear logic and expertise.
  • Lead supervised fine-tuning activities, including the development and maintenance of high-quality, task-specific datasets.

Required Qualifications and Skills

  • Strong proficiency in Python focused on data analysis and model building.
  • Experience in data science and machine learning methodologies.
  • Ability to apply business insight and analytical skills to extract meaningful information from public datasets.
  • Expertise in debugging and producing comprehensive technical documentation.
  • Excellent communication skills for clearly conveying rationale and logic within Jupyter notebooks or similar platforms.

Opportunity Highlights

This position provides the chance to contribute to cutting-edge AI solutions within a leading global technology and internet company, addressing critical real-world problems with advanced AI systems.

Equality and Diversity

The employer is committed to an inclusive hiring process and welcomes applications from all qualified individuals, independent of their background or employment history. Selection is based purely on technical skills and qualifications.

Tools & software

Machine Learning required

How they work

Communication Teamwork & Collaboration Problem Solving Attention to Detail
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