Senior Data Scientist
Senior Data Scientist
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Job Description
As part of the Data Science team you will collaborate with a closeknit group of skilled professionals focused on advancing renewable energy solutions. Your role will involve developing innovative strategies and tools to optimise energy systems ensuring they are both efficient and sustainable. Together you will contribute to creating impactful solutions that drive the future of renewable energy technologies.
Key Responsibilities
- Gather clean and preprocess large datasets from various sources including telemetry from consumer energy resources IOT devices weather data and market information.
- Train test and validate machine learning models
- Experiment with novel approaches to solve problems and innovate on ways to add value to the energy system
- Perform analysis of product ideas using a variety of tools including simulation and conduct deep dives into the performance of systems to provide feedback to clients and customers
- Work closely with software developers product managers data engineers and domain experts to design and develop solutions to problems utilising data science ML and optimisation
- Evaluate model performance and continuously improve based on feedback and realworld data and undertake hypothesis testing to evaluate changes
- Develop dashboards and reports to communicate insights and support decisionmaking.
- Provide expertise on mathematical concepts and statistical techniques to improve data driven outcomes for clients
- Stay updated with the latest trends in data science AI and renewable energy technologies
- Building tools and algorithms to support renewable energy initiatives such as demand forecasting and energy storage management
Qualifications :
You are passionate about renewable energy and thrive in a fastpaced innovative environment. In addition to this you will bring:
- 2 years of data science experience
- Bachelors Masters or Ph.D. in: Computer Science Data Science Artificial Intelligence Machine Learning Electrical/mechatronic Engineering (with a focus on data systems or signal processing) Physics (with a computational focus) Applied Mathematics and statistics or similar
- Data Analysis & Statistics: Proficiency in statistical analysis data cleaning/imputation and exploratory data analysis techniques
- Machine Learning: Experience with supervised and unsupervised learning timeseries forecasting Hypothesis testing classification clustering and anomaly detection techniques
- Programming Languages: Proficiency in Python with knowledge of data science libraries (e.g. Pandas NumPy Scikitlearn PyTorch PyDantic Jupyter Notebooks)
- Data Engineering: Proficient with SQL data pipelines and ETL processes
- Visualisation Tools: Experience with visualization libraries and tools (e.g. Matplotlib Seaborn Plotly Tableau PowerBI Quicksight streamlit)
- Collaboration & Communication: Strong presentation skills and ability to communicate insights and collaborate with crossfunctional teams including engineers product managers and stakeholders
Bonus Skills
- Domain Knowledge: Understanding of load and PV forecasting Energy market operation electrical systems and/or consumer energy resources.
- Software development: Experience with Python RESTful APIs (FastAPI) and Test Driven Development
- Big Data & Cloud Technologies: Knowledge of cloud platforms (AWS Azure GCP) distributed computing tools (Spark Hadoop) and data storage solutions.
- Optimisation knowledge: Understanding of convex linear and mixed integer linear optimization techniques and their implementation using PyOmo or Ortools as well as an understanding of model predictive control
- Proven ability to lead mentor and collaborate effectively
Additional Information :
Our team is a diverse group of brilliant curious and passionate individuals working together to solve some of the worlds most pressing energy challenges.
If youre excited to make a real impact on the future of energy wed love to hear from you! Submit your application today and help us build a sustainable energy future.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
