Working Student, Data Science, Forecasting

🕒 May 22

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1KOMMA5°

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2021

⚡ Energy

☁️ SaaS

🔧 Hardware

Energy • SaaS • Hardware

1KOMMA5° is a company dedicated to providing sustainable energy solutions through the installation and management of solar panels, heat pumps, energy storage systems, and energy management technologies. Their Heartbeat AI and Dynamic Pulse technologies intelligently connect and optimize users' energy systems, allowing for significant savings in energy costs. The company emphasizes independence from traditional energy markets by enabling households to produce and manage their own clean energy. With a focus on sustainability, 1KOMMA5° also facilitates the sale of surplus solar energy, helping users earn additional income. They operate comprehensively, offering consultation, planning, installation, and service through their extensive network across multiple countries.

📋 Description

• Time Series & ML Engineering: Support the team in building, improving, and retraining machine learning forecasting models • Production Operations: Actively assist in monitoring, updating, and troubleshooting forecasting models and pipelines operating in production environments • Data Pipelines & Cleansing: Help build and maintain robust data transformation pipelines using SQLMesh and BigQuery to pre-process large streams of data • Simulation & Validation: Use our internal simulation framework to backtest forecast models and analyze how forecast errors directly impact our high-level EMS optimization yield • Agentic AI & Workflow Automation: Assist in writing, structuring, and testing behaviors for autonomous AI agents to help automate workflows • Documentation & Team Sync: Help maintain clean, clear technical documentation in Notion and collaborate with Optimization and Data Engineers during sprint cycles

🎯 Requirements

• Current Studies: Enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Mathematics, Physics, or an equivalent quantitative field • Python Foundations: Solid coding skills in Python and familiarity with core data science libraries (pandas, numpy, scikit-learn) • ML Domain Knowledge: Solid theoretical understanding of machine learning principles, statistical analysis, model architectures (e.g., regression, tree-based ensembles), and key evaluation metrics • Analytical Mindset: Enthusiastic about troubleshooting data quality bugs and validating model outcomes using quantitative metrics • Team & Agile Mindset: You have a team-oriented mindset, enjoy working in agile environments (such as sprints), and deeply value close, transparent collaboration with your teammates • Domain Interest: A genuine interest in renewable energy, battery storage systems, smart grids, or electricity markets • Bonus points for: First touchpoints working with cloud-based infrastructure (e.g. GCP, AWS, Azure), especially containerized workflows and data warehouse solutions • SQL Literacy: Understanding of relational databases and confidence writing SQL queries for data extraction, manipulation, and aggregation. • Hands-on experience using generative AI tools, prompt engineering, or configuring AI coding assistants • Initial experience with data pipeline tools like SQLMesh or dbt. Basic understanding of visualization tools like Grafana or Looker.

🏖️ Benefits

• You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen • With your work, you accelerate the "energy transition" and hence have a direct impact on our climate • Work with and learn from other super-smart colleagues • You will enjoy direct contact with core decision-makers • You will enjoy the best chances of entering in one of Europe’s most thriving scaleups • You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich • Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass • Benefits and discounts are yours with Futurebens