Remote Data Scientist: Time Series Forecasting for Energy

Jobgether; Turkey; Remote; TRY 350,000 - 550,000; Full time

Benefits offered by this job

Fully remote

Global collaboration

Growth opportunities

Job summary

Jobgether in Turkey is seeking a Data Scientist (Time Series Forecasting) to join a fully remote, distributed team. You will design forecasting models for weather, energy prices, and grid supply and demand, and translate them into reliable production code powering a live energy trading platform.

The role emphasizes hands-on development, use of Python and SQL, and collaboration with cross-functional teams in a global energy trading environment.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• At least three years in data science, forecasting, or related roles.
• Proficient in Python and SQL; Go is a plus.
• Experience with time series forecasting and production-ready code.

Responsibilities

• Design, develop, and refine time series forecasting models for weather, energy prices, and grid supply/demand.
• Translate forecasting algorithms into robust, production-ready code for a live energy trading platform.
• Analyze datasets, identify patterns, and improve forecasting accuracy.
• Incorporate agentic coding tools into daily development workflows to accelerate implementation.
• Collaborate with data pipelines and production environments to ensure reliability.

Skills

Python

SQL

Time series forecasting

Go (adv)

English communication

AI-assisted coding tools

Education

Bachelor's degree

Tools

Agentic coding tools

Python pipelines

Job description

Jobgether in Turkey is seeking a Data Scientist (Time Series Forecasting) to join a fully remote, distributed team. You will design forecasting models for weather, energy prices, and grid supply and demand, and translate them into reliable production code powering a live energy trading platform.

The role emphasizes hands-on development, use of Python and SQL, and collaboration with cross-functional teams in a global energy trading environment.