Applied Scientist
# Applied Scientist **micro1** · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 💰 **Компенсация:** `$245 – $280` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Applied-Scientist]` `[Applied-Research-Scientist]` `[Applied-Researcher]` `[Applied-AI-Scientist]` --- ### About the Role Role Title: Applied Scientist Role Type: Contractor Location: Remote micro1 is engaging Applied Scientists to contribute to a customer's data-driven project, focusing on advanced analytics and experimentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters. This opportunity is part of an open Data Scientist project, with a strong emphasis on clear written and verbal communication. Scope of Work - Design and execute statistical analyses to uncover actionable insights from complex datasets. - Develop and validate machine learning models for various business or research objectives. - Apply data modeling techniques and manage large-scale data transformations using Python and Pandas. - Collaborate with stakeholders to define experimentation frameworks and analyze outcomes. - Document methodology, findings, and recommendations with a focus on clarity and precision. - Review peer contributions and provide high-quality feedback to support knowledge sharing. - Deliver reproducible code and well-organized analytical reports as part of the project deliverables. - Evaluate AI model outputs on statistics, machine learning, experimentation, and quantitative problems. - Create expert-level prompts, datasets, and reference solutions. - Identify flawed methodology, statistical errors, and weak quantitative reasoning. - Provide clear, structured feedback that improves model capability. Preferred Qualifications - At least one year at a top company (tech, finance, or research). - Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn). - Demonstrated experience in applied statistics, experimental design, and machine learning. - Proven ability to develop, tune, and evaluate machine learning models in practical settings. - Strong data modeling skills and experience managing structured and unstructured data. - Excellent written and verbal communication skills, with a passion for clear technical documentation. - Experience collaborating on open or cross-functional data science projects is a plus. - Advanced academic background or hands-on work in data science, applied mathematics, or related fields. Originally posted on Himalayas
- Applied-Scientist
- Applied-Research-Scientist
- Applied-Researcher
- Applied-AI-Scientist
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).