Job Description:

Rakuten is the one of the largest internet services company globally and provides more than 70 services spanning eCommerce, finance, telecommunication, sports and much more to approx. 1.4 billion customers worldwide. Following the strategic vision “Rakuten as a data-driven membership company”, we are expanding our data activities across our multiple Rakuten group companies.

Customer Program, one of our core science programs, aims to build universal customer models and applications. Customer DNA (CDNA) is a platform to manage Rakuten customer profiles by utilizing data from different Rakuten businesses. CDNA-IAs (Inferred Attributes), a part of CDNA, are predicted customer profiles using machine learning algorithms. The team builds and operates a large number of models for CDNA-IAs. The team does apply recent research progress to develop an efficient data pipeline and for model creation.

We are looking for a Data Scientist for the Customer DNA (CDNA) group. The Data Scientist will work on developing new models, and improving the performance of the existing CDNA models.

Responsibility:

• Profiling tens of millions of customers with machine learning
• Design and tuning machine learning algorithms
• Work with the data engineering teams to support them in the design and implementation of frameworks to serve hundreds of models
• Around 50% time in research and 50% in development
• Work with the data engineering teams to create internal tools for monitoring, visualization and other automation process.

Requirements:

• Masters/PhD in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• 5+ years of industry experience in predictive modelling, and data analysis
• Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc
• Experience or interest in creating Auto ML pipelines that facilitate the development and deployment of large number of models at scale.

• Previous experience, preferably in product company, in a ML or data scientist role and a track record of building ML or DL models
• Experience using Python and ML libraries, such as scikit-learn, pandas, numpy, scipy
• Experience handling terabyte size structured and unstructured datasets using distributed frameworks such as Spark, Hive
• Familiarity with using data visualization tools
• Experience working with GPUs to develop deep learning models
• Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Along with product managers, own the business outcomes/metrics which the data science model/algorithm drives
• Strong written and verbal communication skills

Department:

All Departments

Open Positions:

1

Location:

Bengaluru, Karnataka, India

Education/Qualification:

Masters

Years Of Exp:

6 to 8 Years

Posted On:

29-Nov-2021