About the Role
Specialize in applying machine learning and artificial intelligence to solve problems across Merchandising, Marketing, Club Operations, Finance, eCommerce, and Security. You will have the opportunity to work with a high caliber team from a variety of disciplines to build new software and radically change our business. Data Scientists work as part of an Experience Team to develop and deploy advanced algorithms at scale. You will support and enable the entire project lifecycle including problem discovery with business clients, algorithmic design, coding, validation, deployment, testing, and monitoring. Data Scientists adhere to agile software development standards through rapid prototyping, iterative development, and incremental deployment of capabilities. Development is performed in Sprints and Data Scientists are held accountable to engineering excellence standards.
Responsibilities
- Performs research and applies new techniques and concepts to solve problems.
- Understands and translates business and functional needs into AI/ML problem statements.
- Develop custom ML models to drive innovative business solutions.
- Manages and integrates complex data sets from multiple, disparate data sources.
- Writes complex queries and extracts data to build robust data pipelines.
- Collaborates with Engineering teams to integrate algorithms into tools, processes, and interfaces.
- Performs exploratory data analysis and develops model to identify trends and opportunities.
- Builds and deploys reusable services and utilities that can be leveraged by a wide range of applications.
- Applies innovative and scientific approaches to augment and automate business decisions.
Requirements
- Experience range from 5 to 9 yrs in related expertise of data science will be the minimum expectation.
- Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, deep learning, and anomaly detection.
- Strong understanding of probability and statistical models (generative and descriptive models).
- Ability to run experiments scientifically and analyse results.
- Ability to effectively communicate technical concept and results to business audiences in a comprehensive manner.
- Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations.
- Experience with Big Data processing (Spark/Bigquery / Hive/ Hadoop/ HDFS).
- Experience with productionizing Machine Learning solutions and CI/CD.
- Comfort level with cloud computing (e. g. Azure, Google, etc. ).
- Experience with anomaly detection methods and working with imbalanced data sets.
- Strong background in Statistics.
- Familiarity with Deep Learning algorithms.
- Proficiency in coding (Python, R).
- Experience with Performance Engineering including testing, tuning, and monitoring tools will be add on.
- Master's/ PhD or any other graduation degree with related statistics or computer science or data science background would be preferred.
- A candidate with out of box thinking and a great problem solver will be an ideal for the team.