Senior Data Scientist- Recommendations

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Data Science team at Swiggy builds innovative data science products that power unique customer experiences beginning from the time you launch the app until the order is delivered. This team builds state of the art Machine Learning/Deep Learning models at scale.

Job Responsibilities

As a Senior Data Scientist in the Recommendations & Ranking team, you will work on problems that impact millions of customers. As part of this team, you will 

• Formulate and implement innovative solutions to business problems using state of the art Machine Learning/Deep Learning models
• Leverage Swiggy’s rich data at scale to build deeply personalised recommendation systems
• Leverage our mature ML infrastructure to deploy Deep Learning models and conduct experiments
• Work with and mentor fellow Data Scientists
• Contribute and co-own the product roadmap

Desired Candidate

• Masters/PhD in Computer Science or related field
• A minimum of 6 years of industry experience with Data Science in product based organisations, including a minimum of 1 year experience in shipping recommendation/personalization models in high-throughput, low-latency settings
• Strong Machine Learning fundamentals along with deep experience with Deep Learning
• Strong problem formulation and solving skills. 
• Prior experience with working on terabyte-scale data in a Spark environment and strong coding skills in Python, SQL, TensorFlow is required. Exposure to Scala is preferred.
• Good written and verbal communication skills
• Good product thinking and ability to map customer-backward problems to ML-led solutions