Data Scientist / Senior Data Scientist

Randstad Singapore

Singapore

On-site

SGD 84,000 - 95,000

Full time

3 days ago

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Job summary

Randstad Singapore invites a Data Scientist / Senior Data Scientist to join as a critical technical bridge. You will partner with Supply Chain, Finance and Customer Experience to scope requirements, design predictive solutions, and deploy them.

Your work spans SKU-level demand forecasting and CRM text summarisation, impacting our growth engine. We seek 2–3 years of hands-on DS experience, strong Python skills, and a Master’s or PhD in a STEM field.

Qualifications

Master's degree or PhD in STEM fields such as Science, Technology, Engineering, Mathematics, or Statistics.
2–3 years of hands-on experience delivering real-world data science projects.
Proven expertise in Time Series modelling and forecasting with historical data.
Strong Python skills and experience with ML libraries like scikit-learn, Pandas, TensorFlow or PyTorch.

Responsibilities

Act as the primary technical contact for business leaders, translating requirements into DS project plans.
Drive traditional prediction and forecasting systems to solve supply chain challenges down to SKUs.
Collaborate with R&D to apply DS to product lifecycles and performance metrics.
Partner with Customer Experience to model CRM interactions and predict purchasing behavior.
Design scalable pipelines and deploy models in production with MLOps and IT support on GCP.

Skills

Time Series modelling

Predictive modelling

Python

SQL

Forecasting

GCP

AWS

Azure

SKU-Level Demand Planning

NLP

Model Deployment

Pandas

scikit-learn

Education

Master's degree or PhD in STEM

Tools

Python

SQL

GCP

AWS

Azure

Pandas

scikit-learn

TensorFlow

PyTorch

Job description

Work closely with stakeholders from supply chain, finance and customer experience team
Expertise in Predictive /Time Series modelling (demonstrated with actual/historical data)

about the company

We are looking for a Data Scientist / Senior Data Scientist with 2-3 years of experience to act as a crucial technical bridge. You will partner closely with three primary stakeholder teams-Supply Chain & Operations, Finance, and Customer Experience-to scope out requirements, design predictive solutions, and oversee their deployment. From solving high-stakes SKU-level demand forecasting challenges to building smart text-summarisation engines for our CRM platforms, your footprints will be all over our growth engine.

about the job

Act as the primary technical point of contact for business leaders. Understand the operational pain points, unpack new business ideas, and translate vague requirements into solid data science project plans.
Drive our traditional prediction and forecasting systems. Solve critical supply chain challenges, predicting exact customer demand and sales patterns down to individual SKUs and products.
Partner with Research & Development teams to apply data science to product lifecycles and performance parameters (such as analysing battery life data).
Work with our Customer Experience team to build models that read, profile, and summarise CRM customer interactions, helping us accurately predict customer purchasing behaviour ("what would they buy?").
Design reliable pipelines and ensure models are fully scalable, ready for production deployment.
Work side-by-side with a dedicated MLOps sub-team and IT support network to seamlessly deploy your models onto our GCP cloud platform environment using existing infrastructure tools.

skills and experience required

Holds a Master's degree or PhD in a STEM field (Science, Technology, Engineering, Mathematics, or Statistics).

2-3 years of hands-on experience

delivering real-world data science models from definition through to implementation.

Proven expertise in Time Series modelling and advanced forecasting methods (demonstrated with actual/historical data)

Highly proficient in Python and standard machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Pandas)

Whats an offer

This is a permanent Data Scientist / Senior Data Scientist role offering a competitive monthly salary of $ 7,500- $ 8,500, along with company perks and benefits.