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Research Scientist-Causal Inference
Research Scientist-Causal Inference
Sony Research India is seeking a Research Scientist with expertise in Causal Inference to join their Data mining team. This role involves defining new research areas, developing algorithms for Sony's Entertainment Business, and applying causal inference for business actions and customer insights. The scientist will work on projects like customer acquisition, churn prevention, recommender systems, and adaptive UX, collaborating with global Sony R&D centers.
About the role
Key Responsibilities
- Define new Research area of Data mining for Sony Group business with Data mining Head
- Research and develop algorithms for growth of Sony’s Entertainment Business (ex. Sony Pictures Networks India)
- Causal inference for business action and customer insight
- New customer acquisition, churn prevention
- Recommender system
- Novel adaptive UX
Interlinkage
Need to work together with:
- R&D Center of Sony Tokyo, US, Europe, etc.
- Sony Pictures Networks India.
- Other Sony development teams in India, Japan, and the US.
Essential Education / Qualifications / Experience
- Ph.D. or Master degree in Computer science or equivalent areas
- Basic mathematics (linear algebra, statistics, etc.)
- Machine Learning/Deep Learning (Classification/regression models, reinforcement learning, statistical learning theory, mathematical optimization, etc.)
- 2+ years of professional experience at a Research company or organization
Professional experience of the following languages, software, tools:
- Python (scikit-learn, pandas, TensorFlow, PyTorch, etc.) (3+ years)
- Any other object-oriented languages (Java, C++, C#, Kotlin, etc.) (2+ years)
- SQL/KVS
- Linux
- Publication records in top-tier conferences such as NeurIPS, ICML, KDD, or equivalent.
- Patents in Data science and ML areas
Preferred Qualifications/Experience
- Building data analysis environment (AWS/GCP, container technologies, distributed system like Hadoop/Spark, etc.)
- Professional experience in experimental design and causal effect inference from observational data.
- Professional experience with any kind of machine learning systems in production
- Experience with MLOps
- Experience in Kaggle competition
Critical Success Factors
- Strong will to contribute to Sony’s entertainment business with technologies
- Good communication skills with the engineering side (data scientists, machine learning engineers, system engineers, etc.) and business side (business planner, marketer, sales, etc.)
- Positive attitude and genuine enthusiasm for data-driven business process