Senior Data Scientist - eCommerce

About Opportunity

We are looking for lead data scientists to drive E2E solutioning, implementation and productionisation of AI/ML solves to improve user retention and engagement, reduce cost and frauds. You will be driving E2E charter for one or more broad problem areas - recommendations, fraud detection/prevention, forecasting, system driven pricing, chat bots, search relevance, supply chain optimisation. You will get to work on first/initial versions of the solve and drive huge business impact

Responsibilities

- Lead problem definition/refining, solutioning and implementation of scalable AI/ML solutions in production

- Lead data collection, data cleaning/preparation, data correctness/completeness/freshness, exploratory data analysis (EDA), feature engineering, etc

- Extract data from varied available data sources without depending on data engineering team

- Create POCs to test hypothesis. Identify explorations that are likely to fail earlier on in the development cycle (EDA/POC phase). Help develop a fast culture in the team.

- Create AI/ML models, iteratively improve them, ensure they meet throughput and latency requirements along with accuracy constraints

- Lead ensuring hygiene of AI/ML solves post production - periodic retraining, model health monitoring, data health monitoring, alerting/monitoring, etc

- Establish AI/ML model evaluation metrics, link with suitable business metrics. Co-own the business metrics and drive improvement in desired direction.

- Contribute to IP creation through innovation wherever possible

- Collaborate with industry experts as necessary on niche problems as needed

- Mentor junior machine learning engineers in the team

- Keep up with latest developments/evolutions in AI/ML techniques in chosen problem areas

- Lead product roadmap and planning along with product managers and other stakeholders and drive business impact

- Lead development/enhancement of necessary tooling to improve efficiency of execution, debugging, testing, etc of AI/ML solutions

- Write detailed and easy to understand documentation on deployed models, experiments - ifailed or successful

Required

- Startup mindset to experiment, fail fast and learn rapidly.

- Data orientation, excellent data analysis skills

- Very good at problem solving

- 7-10+ years of expertise in developing AI/ML solutions and deploying solves at large scale and optimizing further and driving positive business impact

- 2+ years in leading a team of data scientists (as a technical mentor) and defining/refining business goals, formulating approaches etc

- Good experience working with data technologies (eg SQL, Spark, Hive, Map-Reduce, Scala, etc); streaming technologies (Kafka, Apache Flink / Spark Streaming or any other similar tools

- Strong experience and deep understanding of various AI/ML techniques - supervised learning, unsupervised learning, deep learning and NLP.

- Very good understanding of machine learning frameworks - Keras, Scikit learn, tensorflow, etc

- Strong experience with Python

- Good understanding of math required for AI/ML

- Experience with AWS or GCP Machine learning platform

Good to have

- Prior experience working on ecommerce problems would be a strong plus