We are currently working with a fast growing F&B SaaS tech startup to seek a Data Scientist to join their team. The candidate will play a pivotal role in empowering our customers to optimize operations through insightful data-driven recommendations. Utilizing data science and Artificial Intelligence (AI), you will be responsible for designing and implementing data analytics and agentic AI tools, focusing on insights and recommendations for our customers. Working closely with the Head of Data and cross-functional teams, you will contribute to building the next-generation data platform for our fast-paced, early-stage startup.
Primary Roles & Responsibilities:
- Collaborate with Operations, Product, and Data Engineering teams to design and implement scalable analytics and reporting solutions.
- Partner with Data Engineering to develop core datasets for operational and exploratory analysis.
- Query, transform, and analyse large datasets.
- Construct rich and dynamic dashboards using in-house tools and third-party solutions like Tableau.
- R&D and launch end-to-end AI Products for customers
- Leverage Generative AI models to develop data products for all internal and external purposes
- Automate solutions where appropriate.
Additional Responsibilities:
- Leverage extensive volumes of structured and unstructured data to enhance customer business performance.
- Manage end-to-end deployment of data projects across various functions and stakeholders.
- Develop a profound understanding of data models, business domains, and support data quality for allocated areas of ownership.
- Build dynamic dashboards using in-house and third-party tools, aligning with business requirements.
Requirements
Ideal Background:
- Bachelor's or Master's degree in a quantitative discipline (e.g., Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or other data science disciplines).
- 1-5 years of experience in a highly quantitative role.
- Self-driven team player with the ability to quickly learn and apply new tools and techniques.
- High proficiency in Python, SQL, and data visualization tools such as Tableau.
- Excellent communication skills in both technical and non-scientific language for effective collaboration with business stakeholders.
- Strong working knowledge of Generative AI and have designed and deployed LLM models in production
Nice to Haves:
- Experience in developing internal or external data products.
- Alignment with executive-level stakeholders.
- Working experience in public cloud infrastructure & tools such as AWS (e.g. S3, Lambda, and EC2) and/or GCP (e.g. BigQuery, Compute Engine)
- Domain expertise in the Adtech industry.
