7 дней назад
Data Scientist (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 Scientist (AI/ML): Designing and implementing scalable data science algorithms for consumer goods business problems with an accent on operations research, machine learning, and Generative and Agentic AI. Focus on building models from massive datasets, productionizing solutions in cloud environments, and quantifying improvements in business outcomes.
Location: Mumbai General Office, India; onsite
Company
Procter & Gamble is a global consumer goods company producing widely recognized brands across approximately 70 countries.
What you will do
- Research, design, customize, and develop scalable algorithms for varied business problems and data types.
- Apply operations research methods, including optimization and simulation, alongside tree-based models, deep learning, and reinforcement learning.
- Integrate Generative and Agentic AI techniques into dynamic analytical models.
- Conduct exploratory data analysis, feature engineering, and model building on massive datasets in cloud environments.
- Collaborate with Data and AI Engineering teams to productionize robust, scalable, and reliable solutions.
- Coach colleagues and develop recognized expertise in one or more data science techniques.
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.
- 2–4 years of relevant professional experience.
- 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.
- Familiarity with DevOps environments, Git, and CI/CD practices.
- Commitment to continuous learning and teaching others.
Culture & Benefits
- Responsibilities on key brands from day one, with increasing ownership over time.
- Continuous formal training, mentorship, and technical coaching.
- Dynamic, respectful, and encouraging work environment.
- Support for initiative, agility, and work-life balance.
- Opportunities to develop marketing knowledge and management abilities.
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