🌎Applied Scientist, Remote- Contract - удалённая вакансия

Xperteez Technology ищет специалиста на позицию 🌎Applied Scientist, Remote- Contract. Вакансия относится к направлению Данные и аналитика и полностью удалённая. Компания не ограничивает местоположение кандидата, поэтому подать заявку можно откуда угодно.

Основные инструменты, названные в объявлении: Python, Machine Learning. В резюме нужны конкретные примеры именно этих навыков.

Работодатель указал оплату: $245 - $280 в час. Условий по рабочим часам объявление не ставит.

Эта вакансия прошла автоматическую проверку: в список не попадают объявления, где требуется иностранное разрешение на работу, спонсорство визы, гражданство определённой страны или проживание в ней.

Role Title: Applied Scientist Role Type: Contractor Location: Remote Required Skills:

* Python

* Machine Learning

* Statistics

* Data Analysis

* Experimentation

* Pandas

* Data Modeling

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