Data Scientist: 4‑Day Week, End-to-End Impact

Cloudtech Solutions; Vallejo (CA); Presencial; USD 97.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Four-day flex week

Ongoing coaching

Descripción de la vacante

CloudTech Solutions in Vallejo is seeking a Data Scientist to own complex problems from feature engineering through deployment. The role demands hands-on development and end-to-end ownership in a fast-paced environment.

You will mentor teammates, document architecture and APIs, and contribute to sprint planning and roadmaps. Proficiency with Scikit-learn, PyTorch/TensorFlow, Airflow or Spark is valued, with a four-day workweek option and ongoing coaching.

Formación

• 5+ years navigating technology work and politics.
• Mentor teammates without taking over the keyboard.
• Confident communicator across email, calls, and in-person meetings.
• Comfort owning the unglamorous middle of a temporary project.

Responsabilidades

• Untangle prioritization dependencies slowing Vallejo releases for months.
• Prototype proof-of-concept solutions for emerging technology requirements.
• Own the deep learning subsystem that the team depends on.
• Tune Scikit-learn queries to reduce load time/timeouts.
• Build robust feature engineering to win back CA accounts.
• Document technical decisions, architecture, and APIs for the broader org.
• Contribute to sprint planning, estimation, and technology roadmap discussions.

Conocimientos

Presentation Skills

Mentoring

Communication

Project execution

Data Science

Herramientas

Python

Scikit-learn

Apache Spark

Airflow

Deep Learning

Descripción del empleo

CloudTech Solutions in Vallejo is seeking a Data Scientist to own complex problems from feature engineering through deployment. The role demands hands-on development and end-to-end ownership in a fast-paced environment.

You will mentor teammates, document architecture and APIs, and contribute to sprint planning and roadmaps. Proficiency with Scikit-learn, PyTorch/TensorFlow, Airflow or Spark is valued, with a four-day workweek option and ongoing coaching.