Job description
JOB TITLE: Data Scientist
JOB LOCATION: Singapore
ROLE TYPE: Permanent
RELOCATION TERMS: Local
ABOUT UNILEVER
Unilever is one of the world’s leading suppliers of Food, Home and Personal Care products with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Persil, Dove, Knorr, Domestos, Hellmann’s, Lipton, Wall’s, PG Tips, Ben & Jerry’s, Marmite, Magnum and Lynx. Faced with the challenge of climate change and the need for human development, we want to move towards a world where everyone can live well and within the natural limits of the planet. That’s why our purpose is ‘to make sustainable living commonplace”
THE UNILEVER DATA & ANALYTICS TEAM
For Unilever to remain competitive in the future, the business needs to continue on the path to become data intelligent. The Data & Analytics team will persevere to make Unilever Data Intelligent, powering key decisions with data, insights, advanced analytics and AI. Our ambition is to enable democratization of data, information and insights as a completely agile organization that builds fantastic careers for our people and is accountable for delivering great work that maximizes impact and delivers growth.
This Data & Analytics function endeavours to create clear accountabilities for all aspects of Data Strategy, Data Management, Information Management, Analytics, and Insights. We are accountable for impact of solutions, maintaining market relevance and minimising unnecessary overlaps in analytics products, ensuring simplicity and that our solutions better meet the needs of our users. Our 5 strategies to achieve this are:
- Accelerate & simplify access to relevant data, information and insights
- Build in-house, leading-edge data, information, insights & analytics capability
- Lead the data & insights culture and careers to empower employees across Unilever
- Rapidly embed analytics products, solutions and services to drive growth
- Advance Information Automation at Scale
The Data Scientist is an exciting role in the Data Science Team in Singapore as part of the Data Science Centre of Excellence (CoE). This team focus on supporting global product (data & analytics) development aiming at maximizing business performance by creating/embedding core data science models into the product engine in a fully automated/scalable fashion. Currently, the team is supporting a major product expansion, targeting at landing in > 10 countries within next year.
The team also works directly with the market (SEA) on innovative project using cutting edge technology/ machine learning model.
This role has a strong global presence while is also deeply connected with the data and analytics community in the region. We are looking for someone good at comprehending the big picture while having deep technical skills to provide systematic data science solutions to challenging real-live problem.
EXPECTED WORK
This role will cover:
- The development and deployment of data science & analytic components within global product (70%).
- Development of innovative solution for specific business need (30%).
The work is strongly technical, and the data scientist will be expected to participate in both very technical sessions (a lot of formula, equations) and business-oriented discussions.
MAIN ACCOUNTABILITIES:
- Leading user engagement and data science activity in regular product deployment cycle: pre-deployment engagement, market customization, testing + BAU monitoring.
- Own the data science road map for the product and leading the development with/without 3rd parties support, coordinating data science related tasks with other tech teams (MLOps, Solution Factory etc).
- Data Science capability development, geospatial and computer vision application cases.
Internal consultant/technical expert to support engagement with tech solution/service providers.
KEY REQUIREMENTS:
- Tech Skills - Full Operational (tools/platform preferred in bracket)
- Data-Native platform for full ML cycle (Databricks)
- PySpark/Scala
- ML lifecycle platform/tool (MLflow)
- Statistical modelling, machine learning
- Optimization
- Tech Skills - Working Knowledge/Preferred Skills
- BI/visualization tool (PowerBI)
- Computer Vision
- Cloud platforms, cloud services APIs
- General Skills
- Client Management
- Project Management
- Strong communication skills, being able to communicate in a clear and concise manner and demonstrate vertical and lateral influence
- Relevant Experience
- Involved in the full cycle of data science product development + deployment, with strong presence in the project.
- Substantial tech experience in all tech aspects of data science work, EDA, modelling, testing, BAU monitoring.
- Experience with FMCG
- Experience working with/managing 3rd parties Working with partners from tech product/platform (MS Azure, GCP etc)
- Research for new methodology (from application point of view), writing white papers, product evaluation
Note: In this experience section we don’t put a lot of emphasis on tech details of specific type of data science work since we will take it as default. And we are open to data scientist focusing on any subject area.
TO APPLY
Please apply online by clicking on the “Apply” button. Your application will be reviewed against our requirements. Should you not meet our immediate requirements, your profile will be registered in our talent pool system and we will match your profile to suitable future vacancies.
You will be able to access your status update through the candidate tracking link.
Thank you for your interest and application.
Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.
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