Data Scientist (Supply Chain)

OLAM INTERNATIONAL LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

OLAM INTERNATIONAL LIMITED in Singapore seeks a Senior Data Scientist to drive analytics across manufacturing, procurement, sales, sustainability, and supply chain. You will analyze data, identify patterns, and translate insights into actionable recommendations.

You will design ML models, apply optimization techniques, and create dashboards in Power BI or Tableau. The role also involves leading data science projects from scoping to deployment, maintaining models in production, and communicating

Qualifications

• MS/PhD in computer science, statistics, or operations research or related technical discipline.
• Minimum 5 to 8 years of work experience in data science or statistical roles.
• Strong knowledge of machine learning, statistics, and optimization.
• Proficient in Python and SQL with experience in SparkML, H2O, FlinkML, TensorFlow, Pandas, R, Matlab.

Responsibilities

• Work with business users to analyse large data sets, identify patterns, and develop insights.
• Design and implement machine learning models to solve business problems.
• Develop optimization techniques to improve decision-making across supply chain and operations.
• Create visualizations using Power BI or Tableau to communicate results.
• Manage data science projects end-to-end from conception to deployment.
• Maintain and monitor analytical models after production deployment.

Skills

Python

SQL

Machine learning

Statistics

Optimization

Power BI

Tableau

Data visualization

Education

MS/PhD in computer science, statistics, OR operations research

Tools

SparkML

H2O

FlinkML

TensorFlow

Pandas

R

Matlab

Snowflake

PySpark

Gurobi

Job description

The data scientist is responsible to provide descriptive, diagnostic, predictive, and prescriptive analytics for ofi’s business operations including manufacturing, procurement, sales, consumer insights, sustainability, trading, supply chain, etc.

Key responsibilities

• Work closely with business users in analysing large and/or complex data sets, identifying patterns, and developing algorithms to extract insights.
• Designing and implementing machine learning models to solve complex business problems. This includes selecting appropriate algorithms, feature engineering, model training, and evaluation.
• Develop and apply optimization techniques such as linear programming, mixed-integer programming, and simulation-based optimization to improve decision-making in supply chain, manufacturing, and logistics.
• Create compelling visualizations that communicate the results of data analysis to both technical and non-technical stakeholders. Use visualization tools such as Power BI or Tableau to create interactive dashboards and reports.
• Managing data science projects from conception to completion. This includes scoping projects, setting timelines, managing resources, and communicating project status to stakeholders.
• Maintaining and monitoring analytical models after production deployment.
• Thought leadership including staying up to date with the latest developments in data science. Continuous engagement with business users to update them on potential opportunities of data science initiatives for their business.

Qualifications and Skills

• MS/PhD in computer science, statistics, or operations research or related technical discipline (e.g. math).
• Minimum 5 to 8 years of work experience in a statistical and/or data science role, with deep knowledge of machine learning, statistics, and optimization.
• Preferred programming experience: Python & SQL with considerable experience with a wide range of tools including SparkML, H2O, FlinkML, TensorFlow, Pandas, R and Matlab.
• Proficient in working with large and complex data sets using modern data platforms such as Snowflake and distributed data processing tools like PySpark.
• Hands-on experience with simulation and optimization modeling using tools such as Gurobi.
• Data visualization experience in Power BI and/or Tableau.
• Excellent written and verbal communication skills along with strong desire to work in cross-functional teams.
• Strategic mindset and the ability to identify opportunities to use data to drive business growth. You should be able to think creatively and identify innovative solutions to complex problems.
• Ability to lead end-to-end data science projects and work with business leadership to quickly turn insights into actions.