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