Mid/Senior Data Scientist
OilX, Greece
Job Description
OilX is a leading data and analytics SaaS provider for accelerating the energy transition. We’re on a mission to digitally transform the world’s energy supply chain. At OilX we use the latest developments in Machine Learning and Satellite Data to provide accurate data analysis tools to energy trading professionals. We are a fast-growing and award-winning startup that has managed to become one of the most prominent names in the energy data industry.
Technology Stack: Our ML applications are built in Python. The Data Science fields that we use to solve our problems range from time-series modelling, which is a major part of our work, to regression, classification and clustering techniques, all the way to traditional optimization algorithms. Furthermore, there are some applications of image recognition and NLP. We use all the latest data engineering tooling to power our Machine Learning solutions along with all the modern Python web application tooling for our web application solutions. Our infrastructure is on AWS.
Currently, we are looking for a Mid/Senior Data Scientist to join our team in Athens, but being a remote first team we will consider applicants from anywhere within the European time zones.
Our recruitment process starts with an off-line exercise (completion time, approximately 2hrs) and includes up to 2 interview rounds.
Requirements
What you will do:
- Conduct important data analysis and information extraction tasks.
- Develop/apply new or improve existing ML models.
- Participate to the continuous improvement of existing algorithms.
- Contribute to the creation of internal tools for Data QA and development facilitation.
- Collaborate with other teams such as oil-analysts and data/software engineers, to provide optimizations and improvements to our product.
What you bring to the team:
Required:
- Demonstrated Data Science and especially time series analysis experience within a team-based environment.
- Strong theoretical background on Data Science and Statistics.
- Strong experience in Python (Pandas, NumPy, SciPy, scikit-learn, Matplotlib, dash Python).
- Ability to evaluate and steer decisions in the face of changing requirements and delivery timelines.
- Experience with DevOps, including tools like Git.
- Excellent command of written and spoken English.
Nice to have:
- Knowledge of at least one relational database such as: PostgreSQL, MySQL, Oracle or MS SQL Server.
- Applied knowledge of Linux OS and open source tools in general.
Benefits
What we offer:
- Competitive base salary (30K-40K annual gross) and up to 10% performance bonus.
- Coverage under the company’s collective health insurance plan (applicable to Greek employees only).
- Individual learning budget for training, seminars, conferences (1000-2000 annually, depending on seniority).
- Work remotely, from wherever you prefer, with your choice of equipment. We provide the option to work from our offices in the centres of Athens, Vienna or London.
- Opportunity to work alongside experienced people with deep knowledge in data science, software engineering and energy business who are always eager to mentor
Strict adherence to Confidentiality, Intellectual Property and Non-Compete provisions is expected.
All applications will be considered under the terms and conditions of confidentiality in accordance with the regulations of personal data protection.
We are an Equal Opportunity Employer committed to diversity and inclusion in the workplace. At OilX, we believe that diversity of opinions, approaches and viewpoints is the key to our innovation and success, and we encourage that with our hiring, development, and rewards practices. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristics by law and take actions to eliminate those from our workplace.