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SENIOR DATA SCIENTIST - Dubai, UAE
Vue: 168
Jour de mise à jour: 05-11-2024
Localisation: Taoyuan District Taoyuan City
Catégorie: Haute technologie Mécanique / Technique Electrique / Electronique IT - Logiciel
Niveau: Mid-Senior level
Type d’emploi: Full-time
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le contenu du travail
Employment type: Full-time & PermanentAnnual Base Salary range of 80,000 USD – 130,000 USD+ performance-based bonus’ - 0% tax environment
Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)
About Cobblestone Energy
Cobblestone Energy is an energy trading company specializing in Great Britain and European wholesale electricity markets. Founded in 2017, we are part of the next generation of companies defining the future of global commodity trading.
We make use of advanced data analytics and extensive research to drive profitable decision-making, trading enough electricity every day to power a small country, and growing every day. In doing so, we help to balance the electricity grid, lowering the cost to end consumers, and aiding the transition to a renewable future. Technology and risk management form the backbone of our business.
At Cobblestone Energy, we are a diverse team of over 50 people from 20+ nationalities - we believe in hiring extraordinary talent from all around the world. Our flat organizational structure helps us to give our team members complete ownership of the work and ensures ideas come from every level. We believe in providing unlimited growth opportunities to our people alongside constant feedback and support, which allows us to cover our vulnerabilities and grow as a team in new and interesting ways. With the right performance and potential, you could be managing the power desk for an entire country within eighteen months in your role. Come join our dream team!
Cobblestone Values
- Lifelong learning with continuous reflection
- Independent thinking through a meritocracy of ideas
- The team is more important than the individual
- Being the best in any market we enter
- Hiring and keeping only the most effective people
- Others must benefit from our existence
- A full-time position on our Commercial team
- Committed and remarkably talented colleagues
- Highly competitive compensation dependent on the performance
- An exciting, challenging and fulfilling career
- Investment in your development to ensure that you always remain the best in the business
- Equity participation for strong contributors, ensuring our interests are all aligned long term
- Collaborating with the traders to improve trading results using data insights
- Conducting predictive analytics using historical data (e.g., fundamental forecasting of wind power generation or demand)
- Researching and developing new systematic trading strategies and back-testing
- Building Python-based data analysis and visualization tools that monitor and optimize our trading strategies
- Creating and streamlining data pipelines to extract, transform and load data streams from various sources
- Mentoring, managing and leading the data scientists in the analytics team
- Guide in building our data infrastructure and data pipelines
- Master’s Degree or PhD qualification in a relevant subject including Statistics, Mathematics, Computer Science, or any highly quantitative subject
- Having 3+ years of experience in building statistical models and having experience in mathematical data analysis, problem-solving and critical thinking skills
- 3+ years of experience with Python data manipulation and analysis using libraries like Pandas, NumPy and SciPy is highly desirable
- Strong skills with distributed data/computing tools
- The ability to present complex ideas with data to expedite decision making
- Familiarity with the electricity domain would be a plus
- Familiarity with the trading domain would be a plus
- Outstanding communication skills with an ability to communicate well with multiple stakeholders
- Strong team building and management skills are highly desirable
- Ability to think clearly in critical situations
- Passion, resilience, and integrity
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Date limite: 20-12-2024
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