Data Scientist (Supply Chain), Singapore

ofi; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ofi is seeking a data scientist to provide descriptive, diagnostic, predictive, and prescriptive analytics across manufacturing, procurement, sales, sustainability, trading, and supply chain. You will work with business users to analyze large data sets, build ML models, and develop optimization solutions to improve decision-making.

The role requires 5–8 years of experience in data science, strong programming in Python and SQL, and proficiency with Snowflake, PySpark, and visualization tools.

Qualifications

• 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.

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.

Skills

Data analysis

Machine learning

Optimization

Python

SQL

SparkML

H2O

TensorFlow

Power BI

Tableau

Education

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

Tools

Snowflake

PySpark

Gurobi

Pandas

R

Matlab

Spark

Job description

About Us

As a leading provider of high-quality food and beverage ingredients, we work with farming communities across the globe to grow, source and produce ingredients that are good for consumers, farmers, and the world around us. We supply household food brands and manufacturers worldwide with cocoa, coffee, dairy, nuts and spices ingredients which are often grown on our own farms and estates and sourced from hundreds of thousands of farmers across :50 countries. Along with our diverse manufacturing and innovation capabilities, this means we can provide ingredients for a range of products, from a plant-based latte mix to an almond based snack bar or a dairy-free ice cream. Making a positive impact on people and planet is a core component of our Purpose, to be the change for good food and a healthy future. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable, and transparent supply. And whoever we’re with, whatever we’re doing, we always make it real.

About Us

As a leading provider of high-quality food and beverage ingredients, we work with farming communities across the globe to grow, source and produce ingredients that are good for consumers, farmers, and the world around us. We supply household food brands and manufacturers worldwide with cocoa, coffee, dairy, nuts and spices ingredients which are often grown on our own farms and estates and sourced from hundreds of thousands of farmers across :50 countries. Along with our diverse manufacturing and innovation capabilities, this means we can provide ingredients for a range of products, from a plant-based latte mix to an almond based snack bar or a dairy-free ice cream. Making a positive impact on people and planet is a core component of our Purpose, to be the change for good food and a healthy future. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable, and transparent supply. And whoever we’re with, whatever we’re doing, we always make it real.

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.

ofi is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment without regard to racial or ethnic origin, color, age, religion or belief, sex, nationality, disability, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by applicable law.