The company is looking to enhance customer satisfaction and drive business growth by developing innovative recommender systems for its e-commerce site.
Requirements
- Proficiency in ML frameworks such as TensorFlow or PyTorch
- Proficiency in SQL, Python and Spark for data analysis and manipulation
- Experience working with cloud platforms like Azure or GCP
- Experience working with Data Engineering and MLOps is desirable
- Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation
- Experience working with Databricks is a plus
Responsibilities
- Develop innovative recommender systems tailored to the unique needs and challenges of grocery retail industry
- Evaluate and improve recommendation performance through A/B testing and offline evaluations
- Enhance personalization and diversity in recommendation algorithms
- Coordinate with ML engineers in the deployment of recommender system models
- Collaborate with cross-functional teams to implement data science solutions
- Integrate diverse sources of data to build datasets for model development
Other
- Bachelor's/Master's degree or equivalent in computer science, data science, statistics, mathematics, analytics, or related discipline
- 2+ years of proven experience building deep learning models for large-scale recommender systems
- High level of independence to develop and own toolkits, pipelines, and dashboards
- Excellent problem-solving skills and a proactive approach to addressing challenges
- Strong analytical and critical thinking skills with attention to detail
- Ability to communicate complex ideas effectively to both technical and non-technical stakeholders
