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Applied Data Scientist - Madrid
ES
We are seeking a highly skilled and experienced Senior Applied Data Scientist to join our dynamic team in Madrid. This role is pivotal in developing innovative machine learning algorithms and techniques that align with our business objectives. The ideal candidate will possess a deep mastery of data science tools and methodologies, and will be responsible for overseeing the end-to-end lifecycle of machine learning models. This position is primarily remote, with occasional on-site collaboration in Madrid.
Key Responsibilities
• Take ownership of the development of learning algorithms and techniques aligned with business objectives.
• Collaborate with product managers to define the strategy and roadmap for the ML Applied team.
• Oversee the end-to-end lifecycle of ML models, from research and prototyping to production deployment.
• Partner with data engineers and software developers to integrate ML models into production.
• Demonstrate an evaluation-first approach by building robust evaluation frameworks to ensure models meet business and technical requirements.
• Utilize expertise in ML algorithms, statistical modeling, and deep learning frameworks to drive impactful results.
Qualifications:
-Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
-5+ years of experience in machine learning research and development, with a proven track record of delivering impactful solutions.
-Strong expertise in ML algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
-Proficiency in Python programming language.
-Experience with MLOps practices, tools, and frameworks (e.g., MLflow, Kubeflow, Docker, CI/CD pipelines).
-Familiarity with big data technologies (e.g., Spark, Hadoop) and data engineering workflows.
Bonus
-Familiarity with electricity fundamentals and signal processing applied to energy data, feature extraction from waveforms, event detection, and load disaggregation for real-world consumption monitoring.
What We Offer
-Competitive salary and benefits package.
-Opportunity to work on cutting-edge ML research and impactful real-world applications.
-Possible stock option plan, subject to performance review.
-A collaborative and inclusive work environment that values innovation and creativity. Professional development opportunities, including conferences, workshops, and training.Product Owner
UK
How our teams are driving change
Voltaware brings together expertise from around the world to develop technology that advance the energy transition and democratise energy literacy. Our teams are at the forefront of innovation to build products that support this transformation.
Work with us
Work with the technologies that you love
Artificial intelligence
AI is at the heart of Voltaware’s technology, we use it to drive cutting-edge energy insights and generate intelligence.
Machine learning
Our data science team uses the latest machine learning tools to build the powerful algorithms which make our products unique.
Microservices
Voltaware works with a modern, flexible architecture with comprehensive cloud computing.
DevOps
Voltaware has built automated tests and environment provisioning to continuously deliver features.
Big Data
Voltaware uses NoSQl databases and data grids containing large volumes of data for ingestion and storage.
Agile development
Voltaware’s international teams use lean techniques and the most advanced collaborative softwares to drive projects forward with agility and speed.
Why Voltaware?
Teamwork
Voltaware teams work closely together and provide constant support and mentoring.
Learning
We encourage all our team members to deepen their knowledge and learn new skills.
Ownership
We give each team member the opportunity to lead on multiple projects and products.
Diversity
Voltaware brings together professionals from all around the world at different stages of their career - diversity of thought is our strength.
Innovation-driven
Voltaware is always pushing at the boundaries of technology to optimise our products and services.