Description
Job Summary:
We are seeking a part-time Data Scientist to support advanced analytics initiatives and operational optimization with high business impact.
Key Highlights:
1. Generate high impact within a reduced working schedule
2. Actively participate in the design and improvement of logistics and commercial models
3. Continuous learning environment, collaboration, and meritocracy
**Data Scientist – Operations and Logistics (Part-Time)**
**Location:** Peru
**Work Mode:** 100% remote
**Working Schedule:** Part-time (4 hours per day)
**Department:** Operations / Data
**Reports To:** Operations Manager / Head of Data
**Level:** Semi-Senior / Senior
Position Purpose
We are looking for a part-time **Data Scientist**, based in Peru, to support strategic advanced analytics and operational optimization initiatives. This role is designed for professionals seeking to deliver **high impact within a reduced working schedule**, tackling concrete and business-relevant problems.
The position will actively contribute to designing and improving models that directly influence logistics and commercial operations, with emphasis on forecasting, optimization, and data-driven decision-making.
Key Responsibilities
* Develop and enhance **demand forecasting models**.
* Implement **logistics optimization solutions** (routing, picking, loading).
* Analyze operational and commercial data to generate **actionable insights**.
* Collaborate on deployment and maintenance of models on **Google Cloud Platform**, according to project scope.
*The scope of responsibilities will align with a 4-hour daily schedule, prioritizing impact, focus, and efficiency.*
Technical Requirements
**Mandatory**
* Advanced Python (Pandas, NumPy).
* Experience in **applied Machine Learning** and/or **mathematical optimization**.
* Advanced proficiency in **SQL**.
* Prior experience working with business or operational data.
**Preferred**
* Familiarity with **Google OR-Tools**.
* Experience in cloud environments, ideally **GCP**.
* Technical English for reading documentation.
Professional Profile
* Strong ability to synthesize information and focus on relevant problems.
* Results-oriented mindset and effective prioritization skills.
* Autonomy, accountability, and efficient time management.
What We Offer
* Remote work within Peru.
* Flexible schedule aligned with part-time arrangement.
* Involvement in real-world projects delivering high operational impact.
* Continuous learning environment, collaboration, and meritocracy.
Application
Send your updated CV to **seleccion@grupops.cl**
Subject: **Data Scientist – Operations and Logistics (Part-Time \| Peru)**
Job Type: Part-time
Work Location: Remote