DirecciónDNV Energy Systems is in the middle of an exciting digital transformation! The future growth of our digital twins, management, monitoring and control solutions for renewable energy assets is in our hands.
We have created a unit focusing on digitalization and innovation within GreenPowerMonitoring. By closely liaising with our customers, we are crafting solutions that will become part of our future software offering.
Combining our deep domain expertise in wind, solar, storage and grid integration with the unlimited potential of digitalization, we will be offering trustworthy actionable insights that will enable best-in-class operational performance of our customers’ assets.
We are part of DNV, the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.
As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.
What You will do
As the Senior Data Scientist in the team, you will support the development of algorithms that help our customers by :
- Optimizing the way their assets operate
- Innovating and disrupting the industry with best-in-class solutions and breakthrough market opportunities
- Providing analytics and tools for the suite of GPM solutions
- Leveraging the potential of data analytics combined with the technical knowledge available in the wider cohort of DNV Energy Systems colleagues renewable energy technology.
- You will solve a variety of problems using techniques such as time series forecasting, anomaly detection, signal processing, classification, probabilistic modelling, natural language processing, and more.
- You ll team up with junior Data Scientists and domain experts in various renewables technologies to solve innovative problems.
- You’ll team up to create software prototypes and minimum viable products in close collaboration with customers and stakeholders, iterating solutions until you get buying in from the end users.
- You ll own or support innovation ideas from ideation to production handover collaborating and connecting with others throughout the journey.
How You will succeed
- Leverage your creative problem-solving skills to deliver innovative product solutions using classical statistics, mathematical modelling, and the full spectrum of machine learning techniques.
- Develop production grade data science solutions.
- Own the overall team’ machine learning practice.
- Embrace collaboration and brainstorm with other team members on how to continuously drive the product forward using data science.
- Drive specific algorithms’ life-cycle from conception to prototyping, testing, and continuous improvement.
- Serve as a mentor and resource to other junior Data Scientists and domain experts on the team.
- Support domain experts to deliver joint projects by advising, coding and testing (depending on specific needs) data science driven algorithms.
The new structure offers you the opportunity to thrive in a safe, inclusive, growth-oriented culture. We have an entrepreneurial mindset in our DNA, which brings you the chance to work in a dynamic organization within a corporate group.
Our environment is friendly and collaborative, inviting you to stay closely connected to the people and business. We care about development and provide learning and growth opportunities for you to take the lead identifying those that align with your interests, expertise, and future goals.
Here, you have the possibility to develop both, vertically and horizontally. And last but not least, our new organizational design brings an agile and smarter way of working, ensuring a healthy work-life balance.
DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants. Diversity is fundamental to our culture, and we invite you to be part of this diversity.
Which skills to bring?
As an ideal candidate, you have :
- Bachelor s or advanced degree in a quantitative field
- 4+ years of work experience using core statistical methods such as checking distributions, correlation / association analysis, multivariate analysis, hypothesis testing, dimensionality reduction, performance statistics, etc
- Proficiency in Python
- Fluency in written and spoken English
And if you’ve got these in your back pocket, consider it a bonus to have :
- Experience in cloud computing (Kubernetes, Kubeflow)
- Experience interacting with product teams
As a person, you have strong communication skills to articulate complex findings in a clear and accessible manner. You are collaborative, enjoy working with interdisciplinary teams, and have the capacity to integrate insights from diverse perspectives.
Problem-solving acumen and adaptability are highly valued, as you will navigate complex and unstructured challenges ensuring data accuracy with meticulous attention to detail.
Moreover, a curious and inquisitive mindset, combined with a commitment to continuous learning.
Any questions?
