Data Scientist

17 hours ago

Mumbai Maharashtra, India Trafigura Full time

Main Purpose:
As a proven problem solver in the fields of computer science and/or data science, you will play a crucial role in developing advanced data abstraction layers to facilitate seamless integration between legacy trading systems (built on Windows, Oracle, Java) and our modern AWS-based data and analytics stack. Your will leverage cutting edge AI and you deep understanding of data engineering principles to drive the successful transformation of our data infrastructure, furthering the use of advanced analytics and data-driven decision-making across the company.

Knowledge Skills and Abilities, Key Responsibilities:
Key Responsibilities:

- Play a key role in designing and developing abstraction layers to integrate disparate systems, ensuring data consistency, validity, traceability and accessibility for self-service by data scientists and analysts.
- Work closely with stakeholders to understand data requirements and translate business needs into well-structured technical specifications.
- Provide advice for model structuring and migration from legacy to cloud environment
- Collaborate closely with our Trading Technology, Data Science and Cloud DevOps teams.

Abilities, Experience and Qualifications:

- Maters or PhD in Computer Science or a related field
- 3-7 years of experience in the field of data science and engineering
- Proven experience in enterprise scale data modelling
- Expertise in machine learning as well as methods from ‘classical AI’ such as logical inference and problem solving by search.
- Expertise in working with cloud platforms, preferably AWS (S3, RDS, Lambda, Glue, Redshift).
- Strong programming skills in Python (in addition, Java would be a plus).
- Familiarity with SQL and NoSQL databases, data modelling, and ETL processes.
- Knowledge of data warehousing principles and architectures.
- Experience with data governance and security.
- Experience in a Commodity Trading, Financial Markets or Logistics Management environment is desirable.

Competencies:

- Ability to solve difficult technical problems under pressure.
- Ability to communicate effectively with a diverse set of stakeholders across business lines and technologies.
- Understanding and experience implementing software engineering best practices.
- Ability to manage and prioritize your own work.

Key Relationships and Department Overview:
Day to day management will be from the Senior Data Engineer / Architect in the Strategic Systems Integration Team with a formal reporting line to the head of the Strategic Systems Integration Team (jointly reporting the CIO and Chief Data Scientist).

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