About Us :
We deliver exceptional experiences to our customers by leveraging big data and machine learning algorithms. Our team works together to create innovative solutions that drive business growth.
Operating in over 70 countries worldwide, we empower ambitious talent to develop impactful projects within our ecosystem. We take action quickly and adapt to new situations.
Our focus is on personalizing dining experiences for customers based on their past behaviors and interactions. By targeting the right customers at the right time, we help restaurants increase foot traffic and improve customer loyalty and retention.
Key Responsibilities :
- 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 project roadmaps.
- 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 a 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 like NumPy and 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 machine-learning approaches around supervised and unsupervised learning tasks.Familiarity with Big Data technologies such as Spark and MPP Databases.Self-motivated, independent learner willing to share knowledge with team members.Detail-oriented and efficient time manager in a dynamic and fast-paced working environment.Why Work with Us?
We value diversity and inclusion, fostering an environment where individuals from diverse backgrounds can thrive. We do not discriminate against anyone based on their racial identities, religious beliefs, color, national origin, gender identities, or expressions, sexual orientations, age, marital statuses, or any other aspect that makes you unique.