Tech Stack
BigQueryGoogle Cloud PlatformMySQLNumpyPandasPostgresPythonPyTorchRDBMSSparkTensorflow
About the role
- Design and develop ML-driven personalization solutions for dining experiences, ordering journeys and customer targeting
- Research, design and deploy scalable machine learning models using large-scale structured and unstructured data
- Partner with internal engineering and product teams to conceptualize, plan and execute the roadmap
- Communicate complex results in a clear, concise and actionable manner
- Mentor junior data scientists and contribute to setting best practices for the team
- Evaluate and prototype emerging AI technologies applicable to the restaurant industry
Requirements
- Degree in Statistics,Mathematics, Engineering, Physics or any similar discipline
- 6-9 years of relevant working experience
- Proficient in RDBMS such as PostgreSQL or MySQL
- Expertise in Python, especially data science and data wrangling libraries such as numpy, pandas
- Strong analytical, data interpretation and problem solving skills
- Good grasp of basic statistical concepts and ML algorithms
- Basic knowledge of AI/ML model deployment lifecycle
- Strong understanding of practical applications of supervised and unsupervised learning
- Familiarity with Big Data technologies such as Spark, MPP Databases
- Self-motivated, independent learner and willing to share knowledge with team members
- Detail-oriented and efficient time manager in a dynamic and fast-paced working environment
- Good to have: experience in personalization and customer propensity modelling
- Good to have: testing and deployment of APIs for large scale production systems
- Good to have: experience building ML models at scale using big data pipelines (e.g., Spark)
- Good to have: understanding of deep learning frameworks such as Tensorflow/PyTorch
- Good to have: experience with GCP/BigQuery
- Employees can work remotely
- Diversity and inclusion commitment
- Interview accommodations available upon request
- Encouragement to share pronouns
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata sciencedata wranglingstatistical conceptsML algorithmssupervised learningunsupervised learningBig Data technologiesAPI testing and deploymentdeep learning frameworks
Soft skills
analytical skillsdata interpretationproblem solvingcommunicationmentoringself-motivatedindependent learnerdetail-orientedtime managementteam collaboration