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Your Responsibilities
* Lead the technical implementation of Flexa data science initiatives and projects from ideation and model development through deployment and maintenance, ensuring robust and high-quality solutions.
* Research, develop, and adapt algorithms that unlock the capacity in the distributed energy system through optimized aggregation and dispatch concepts, forecasting per household and aggregate, and identifying opportunities to distribute intelligence.
* Mentor and guide Flexa data scientists, fostering an environment of continuous learning and improvement.
* Foster technical excellence, drive best practices, and contribute to our open, data-driven engineering culture.
* Drive the advancement of our product development roadmap, ensuring scalable and efficient solutions that expand the reach of our platform.
* Work collaboratively within Flexa cross-functional teams and across partner companies to ensure alignment with product and business goals.
* Keep Flexa at the forefront of scientific innovation within the energy sector.
Your Profile
* University degree (Master or PhD) in Computer Science, Mathematics, Statistics, or related fields, with a focus on data science, Machine Learning, or optimization.
* 5+ years of industry experience in applied data science or Machine Learning.
* 3+ years of industry experience in a technical leadership role, overseeing data science initiatives.
* Proficiency in software development and practices, with strong expertise in Python.
* Extensive hands-on experience in developing, deploying, and monitoring Machine Learning models in production.
* Experience working in the cloud, ideally AWS, with emphasis on data and Machine Learning tools such as SageMaker, S3, and DynamoDB.
* Ability to handle multiple complex data science challenges simultaneously, from conceptualization to delivery in fast-paced environments.
* Proven record of guiding data scientists to contribute to the organization’s financial performance.
* Excellent communication skills in English and the ability to handle multiple stakeholders in a cross-functional setting.
Skills to Set You Apart
* Optimization expertise: experience with optimization problems and methodologies.
* Industry knowledge: experience in the energy industry, particularly in energy trading or similar fields.
* Experience in time series data processing, analysis, and forecasting, especially in streaming settings.
* Hands-on experience with big data technologies such as Spark and Dask, container orchestration frameworks like Kubernetes, and handling Machine Learning models at scale.
At Flexa, we are committed to diversity of backgrounds and experiences. You don’t need 100% of the qualifications to add value to our team. If you’re passionate about this role, we’d love to hear from you.
Your Compensation Package and Benefits
* Virtual Share Options for all employees.
* Annual development budget of €3,000 for coaching, training, books, etc.
* Company-subsidized sports facilities membership.
* Monthly subsidy for public transportation tickets.
* Digital meal vouchers for working days.
* Work equipment such as MacBook or Windows Laptop, iPhone, and ergonomic workspace.
* Regular team events including knowledge sessions, afterwork, sports, offsites, and celebrations.
A Short Note from Your Future Lead
Hi there!
I'm Sebastien Schikora, CTO at Flexa. With extensive experience in the energy industry and a background in Silicon Valley, I am dedicated to fostering a collaborative and innovative environment. Our team values progress and groundbreaking solutions, and I encourage passionate individuals to join us in shaping the future of energy technology.
Looking forward to working with you!
Sebastien Schikora
Contact Information
If you have questions, email us at [email protected] or [email protected]. We look forward to your application!
About us
Flexa, a joint venture between Enpal and Entrix, delivers a Virtual Power Plant (VPP) that offers energy cost savings and supports the transition to renewable electricity. We integrate hardware and software to optimize energy assets for our customers, maximizing flexibility and market returns through intelligent dispatch algorithms.
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