Qodea

Senior Data Science Engineer

🇵🇭 Taguig, Філіппіни Гібридно Повна зайнятість Опубліковано Тра 11, 2026
Формат роботи Гібридно
Тип зайнятості Повна зайнятість
Мова English
Опубліковано 11 травня 2026 р.
Остання перевірка 30 травня 2026 р.
Контекст JobGrid

Огляд ролі від JobGrid

Senior Data Science Engineer at Qodea: Taguig, Філіппіни; Гібридно; Повна зайнятість. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Taguig, Філіппіни, Гібридно
  • Role classification: Повна зайнятість
  • Source freshness: checked by JobGrid on 2026-05-30.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.



Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.

We look for people who embody:

Innovation to solve the hardest problems.

‍Accountability for every result.

‍Integrity always.

Core Responsibilities

  • Strong grasp of statistics and probability fundamentals
  • Solid understanding of machine learning algorithms for supervised and unsupervised learning
  • Understanding of Transformer based models
  • Experience developing AI agents
  • Strong Python and SQL skills
  • Experience with Cloud ML tools and version control (e.g. git)
  • Experience with MLOps
  • Collaborative, proactive, logical, methodical, and attentive to detail
  • Excellent communication skills (verbal and written)
  • Collaborate with clients to understand their business problems and design technical solutions using machine learning models
  • Develop and deploy machine learning models on Google Cloud
  • Use version control and agile working practices
  • Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.