3 часа назад
Data Science Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Engineer (AI): Designing and implementing scalable data science algorithms and machine learning models for large datasets with an accent on operations research, optimization, simulation, and Generative and Agentic AI. Focus on exploratory data analysis, feature engineering, cloud-based development, productionizing models with Data and AI Engineering teams, and mentoring other data scientists.
Location: Singapore General Office
Company
Procter & Gamble develops and markets a global portfolio of consumer brands across approximately 70 countries.
What you will do
- Research, design, customize, and develop scalable data science algorithms for varied problems and data types.
- Apply operations research methods, including optimization and simulation, together with machine learning models such as tree models, deep learning, and reinforcement learning.
- Integrate Generative and Agentic AI techniques into dynamic and responsive analytical models.
- Perform exploratory data analysis, feature engineering, and model building on massive datasets in cloud environments.
- Collaborate with Data and AI Engineering teams to productionize robust, scaled, and reliable solutions.
- Coach other data scientists and develop recognized expertise in data science techniques while measuring business outcomes.
Requirements
- Bachelor’s, master’s, or postgraduate degree in a quantitative field such as Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, or Analytics.
- 2–5 years of relevant professional experience in Data Science.
- Proficiency in Python and familiarity with OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.
- Experience developing and testing code in cloud environments and working with large datasets.
- Strong written and verbal communication skills, with the ability to influence others.
Nice to have
- Experience applying machine learning, optimization, simulation, Generative AI, or Agentic AI to real-world problems.
- Experience with GCP or Azure cloud platforms.
- Familiarity with DevOps environments, Git, and CI/CD practices.
- Commitment to continuous learning and teaching others.
Culture & Benefits
- Responsibilities on key brands from the first day.
- Formal training and continuous mentorship from managers and colleagues.
- Dynamic, respectful, agile, and work-life-balance-oriented environment.
- Opportunity to collaborate with domain experts across different business units.
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