Data Scientist – Energy Forecasting & Optimization (m/f/d)

coneva GmbH; München; Hybrid; EUR 85.000 - 115.000; Vollzeit

Benefits dieser Stelle

EGYM Wellpass

Bike & IT leasing

Job ticket

Flexible working hours

Company pension scheme

Zusammenfassung

coneva seeks a Data Scientist to advance forecasting and optimization for energy systems, focusing on battery scheduling, charging, and cost reduction. You will work with engineers to deploy models and interface with real customer data.

You’ll leverage Python, MILP, and time-series analysis to turn insights into production-ready notebooks and interactive tools, in a fast-moving energy startup environment with flexible working hours.

Qualifikationen

• Bachelor/Master in a scientific or engineering discipline.
• Strong Python skills and data handling experience.
• Proven experience with convex optimization and MILP.
• Knowledge of electricity markets, especially German spot market.
• Hands-on approach: shipping robust solutions and production-ready notebooks.

Aufgaben

• Develop and improve forecasting and optimization models for energy systems.
• Build models for battery scheduling, EV charging, and energy cost reduction.
• Analyze energy data using time series methods and statistics.
• Collaborate with engineers, product teams, and energy experts to deploy models.
• Support sales with simulations and requirements analysis.

Kenntnisse

Python (Data Science)

Time series analysis

Optimization (MILP)

English (C1)

Data integration

Team communication

Ausbildung

Degree in science/engineering

Tools

cvxpy

Pandas/Numpy

Databases/REST APIs

Jupyter

Jobbeschreibung

Data Scientist – Energy Forecasting & Optimization (m/f/d)

You'll help shape the future of energy flexibility. As a Data Scientist, you develop forecasting and optimization models that make industrial and commercial energy systems smarter, greener, and more profitable — driving our Flex product for automated energy trading and intelligent control of distributed energy resources.

coneva builds data-driven software solutions to reduce electricity costs for industrial and commercial customers — from intelligent energy management to battery storage and flexibility trading. As part of the Energy Division of PARIGROUP, we combine technological innovation with a stable, long-term-oriented company environment.

• Develop and improve optimization models for battery scheduling, EV charging and energy cost reduction
• Build forecasting models for consumption, PV generation, charging demand and market-related signals
• Apply statistical methods (time series analysis, regression, hypothesis testing) to analyze energy data
• Analyze operational and pilot project data to identify optimization opportunities
• Work with real customer systems, messy operational data and practical constraints such as runtime, reliability and cost
• Collaborate closely with engineers, product colleagues and energy experts to bring models into production
• Support sales with requirements analysis and system simulations

What You Bring

• Strong Python skills (Jupyter, Pandas, NumPy, SciPy, cvxpy) and experience connecting to diverse data sources (databases, REST APIs, file formats)
• Degree in a scientific or engineering discipline (e.g. electrical engineering, physics, mathematics, computer science, energy systems)
• Proven experience with convex optimization and mixed-integer linear programming (MILP)
• In-depth knowledge of electricity markets, especially spot market trading in Germany
• A pragmatic builder and analytical mindset: you care about shipping robust solutions, not just elegant models, and enjoy turning insights into interactive notebooks and visualizations
• Clear communication and ownership in a fast-moving, collaborative startup environment
• Fluent English (C1); German is a plus but not required — we value curiosity and willingness to learn over existing fluency
• Bonus: experience with commercial energy technology components (batteries, EV chargers, PV systems)

Why coneva

• EGYM Wellpass, bike & IT leasing, job ticket, flexible working hours, company pension scheme
• Real impact: actively help shape the energy transition
• Creative freedom with high ownership, modern tech stack & cloud-native architecture
• Stable environment: part of the family-owned PARIGROUP

All open positions and the application process at a glance.