Responsibilities:

Research, design, and build systems to process and derive insights from high-dimensional, fast-moving, unstructured and structured data.
Build advanced feature extraction pipelines that serve various advertising applications, including audience targeting, relevance and ranking, and performance optimisation.
Work with Data Scientists to build and deploy machine learning and statistical models to predict or estimate key signals that are used to optimise advertising product performance.
Run large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in advertising applications that serve hundreds of millions of impressions per day.
Build compelling data visualizations and interactive dashboards for monitoring and sharing of business insights internally and externally.

Requirements:

Bachelors/Masters in Computer Science or related field with 6-9 years of software development experience.
Strong project estimation & planning skills with experience in driving projects end-to-end.
Hands-on experience in implementing modern software development practices like Agile (Scrum), BDD, TDD, etc.
Deep understanding of data structures and algorithms.
Well versed with software design patterns.
Experience with designing systems for scale with Object-Oriented design concepts
Writing scalable, performant, maintainable code in one or more of the languages - Core Java, Scala, Node.js, Python
Experience or understanding of Machine learning model building is a big plus
Experience with Big data technologies such as Hadoop, Spark
Experience building web services (REST-ful services)
Experience with event-based architecture such as Kafka, Rabbitmq, ActiveMQ etc.
Experience with containerization using Docker and orchestration using Kubernetes is a plus
Great communication skills, written and verbal, with the ability to explain complex concepts and techniques in simple terms relevant to the needs of the business.
Hands-on experience with SQL and NoSQL databases
Good knowledge of common software development tools/technologies (Git, Java, Eclipse, Apache, MySQL, Oracle, NoSql databases, etc. ).
Familiarity with cloud-based platforms
Exposure to streaming technologies such as Apache Flink, Spark streaming, Kafka streaming