Senior Data Scientist
11 hours ago
𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗮𝗻𝘆:
Our client is one of the world's leading independent commodity trading companies, operating worldwide. Known for innovation and integrity, the company is a market leader in the trade, transport, storage, and optimization of energy products. This is an opportunity to work in a global, dynamic environment at the heart of the energy sector.
Job Description
𝗥𝗼𝗹𝗲 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:
We are looking for a Senior Data Scientist to join our team in Bucharest, Romania (remotely), playing a key role in developing advanced statistical models, machine learning solutions, and AI-driven experimentation frameworks to drive faster, data-informed decisions across the group.
You will work closely with Data Engineers, Data Architects, and business stakeholders to design and deploy ML-ready pipelines and business-facing use cases, with a strong focus on scalability, trust, and near real-time insights.
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
- Design, build, and deploy machine learning models for trading, risk, and operational use cases.
- Explore and apply advanced AI techniques, including agentic AI, to optimize decision-making processes.
- Develop frameworks for experimentation, testing, and continuous improvement of ML models.
- Collaborate with Data Engineers to ensure ML pipelines are scalable, reliable, and production-ready.
- Work with Data Architects to align semantic models and the knowledge graph with ML requirements.
- Partner with business domain experts to translate problems into data-driven solutions.
- Ensure model interpretability, governance, and alignment with compliance standards.
- Stay up to date with advancements in AI/ML and proactively bring innovative methods into the organization.
𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮:
By submitting your resume, you agree to the retention and use of your personal data by TSG for recruitment purposes, including sharing with our clients in the context of your application
Profile / Requirements
𝗖𝗼𝗿𝗲 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field.
- 5+ years of experience as a Data Scientist, ideally in trading, energy, or financial services.
- Strong expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in Python and SQL; experience with Scala is a plus.
- Hands-on experience deploying ML models into production (batch and streaming).
- Solid understanding of statistical modeling, optimization, and experimentation design.
- Fluent in French and English (written and spoken) — both mandatory.
- Excellent analytical, problem-solving, and communication skills.
𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲 𝗦𝗸𝗶𝗹𝗹𝘀:
- Knowledge of agentic AI and generative AI solutions.
- Familiarity with Azure Machine Learning, Databricks, or similar platforms.
- Experience with Power BI, Tableau, or other visualization tools.
- Prior experience with commodity trading or energy industries.
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