Kpler specializes in transforming complex data into clear insights across the energy sector, focusing on gas and power markets. Our dedicated teams collaborate to enhance our cross-commodity offerings, ensuring that our users can navigate evolving market demands with confidence.
Requirements
- A minimum of 2 years' experience as a Data Scientist with a strong portfolio of production deployments.
- Proficient in MLOps platforms (such as Dataiku, Databricks, or SageMaker) for model development and deployment.
- Familiarity with software engineering principles, including version control and code quality practices.
- Hands-on experience delivering machine learning solutions that have tangible business impacts.
- Comfortable utilizing Git and engaging in Agile workflows.
- Fluent in English, with excellent communication skills for technical discussions.
Benefits
- Opportunity to influence energy market predictions by developing innovative forecasting models.
- Access to collaborative tools and environments that promote continuous learning and professional growth.
- Flexibility in work arrangements, supporting a healthy work-life balance.
- Comprehensive benefits package including health, wellness, and retirement plans.
- Engagement in cross-functional projects that enhance both technical and interpersonal skills.
You’ll Be a Great Fit If...
- You approach challenges with a problem-solving mindset, eager to dig into data and derive meaningful insights.
- Your work style involves a blend of independent initiative and collaborative teamwork, thriving in environments where knowledge-sharing is encouraged.
- You value clear communication and actively seek out feedback from peers to refine your models and their impacts.
- You possess a growth mindset, constantly looking for ways to expand your expertise and apply new techniques to real-world problems.
- You are excited about the intersection of data science and energy, understanding the broader implications of your work on market dynamics.
