Senior Data Scientist
Senior Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
About the role :
We are looking for a passionate and innovative Senior Data Scientist to join our Data Sciences Team. Fueled by one of the largest data sets of its kind in the region this team at Delivery Hero is working on some of the most challenging and fascinating technology problems available right now in the restaurant industry. From personalizing the dining experience for restaurant diners by analyzing their past behaviors & interactions to helping restaurants increase their footfall by targeting the right customer at the right time we are using big data to help change the way millions of people will dine at the restaurants.
This is a unique opportunity to join a new multidisciplinary team of creative and passionate individuals destined to change the face of the restaurant industry. Join us and lets redefine customer loyalty and retention together!
Key Responsibilities:
- 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.
Qualifications :
Experience Required:
- Degree in StatisticsMathematics 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 etc
- 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 the practical applications of machine-learning approaches around supervised and unsupervised learning tasks.
- 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
- Testing and deployment of APIs for large scale production systems
- Experience in building ML models at scale using big data pipelines on platforms such as Spark
- Understanding of deep learning frameworks such as Tensorflow/PyTorch
- Experience with GCP/BigQuery
Additional Information :
We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
