🌎Applied Scientist, Remote- Contract - vacante remota

La empresa Xperteez Technology busca cubrir el puesto de 🌎Applied Scientist, Remote- Contract. La vacante pertenece al área de Datos y analítica y es totalmente remota. La empresa no pone ninguna restricción sobre el lugar de residencia, así que usted puede postular desde donde vive.

Las herramientas principales que nombra el anuncio son: Python, Machine Learning. El CV debería mostrar ejemplos concretos justo de esas capacidades.

La empresa publicó la remuneración: $245 - $280 por hora. Sobre el horario, el anuncio no pone ninguna condición.

Esta vacante pasó una revisión automática: los anuncios que exigen un permiso de trabajo extranjero, patrocinio de visa, una nacionalidad concreta o residencia en un país determinado no entran en la lista.

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