Senior Data Scientist

Ampol SG, Singapore, Singapore

Ampol

Ampol connects our proud history with everything our business is known for today, our trusted high-quality products, our commitment to customer service, local communities and the largest leading transport fuels network in Australia.

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About Ampol Trading & Shipping

Our purpose at Ampol is to power better journeys today and tomorrow. Our Trading and Shipping team is key to achieving this, not only supplying our customer’s needs today, but evolving as the energy transition takes place to supply our customers well into the future.

 

We take pride in our people and value innovation, sustainability, and customer satisfaction. If you’re a professional committed to excellence, Ampol is looking for you.

 

About the role

 

The Lead Data Scientist T&S is responsible for leading the generation and delivery of machine learning and other advanced analytical solutions, with a key focus area to create trade recommendations or other tradable insights for Ampol’s Trading and Shipping business.

The role will combine hands on problem solving with responsibility for leadership of other technical team members and support for production models.

This position is a part of Ampol’s Data, Analytics and AI team, a centre of excellence for big data and advanced analytics within Ampol, and works in a cross functional product squad.

 

 

Key responsibilities

 

Business alignment

  • Maintain a strong understanding of the Trading business context, data capabilities, Data product roadmap, business processes, risk management frameworks, and other related opportunities relating to Ampol’s Trading and Shipping business

 

Technical delivery

  • Lead the development of new machine learning and analytics opportunities, from early exploration phase through to delivery and deployment, resulting in tradable insights and profit
  • Individually develop high quality data science solutions for specified projects
  • Engage business stakeholders to drive understanding and alignment on solutions
  • Collaborate with product manager and data architecture to ensure extensible and reliable platforms and data products, which support the growth of analytics capabilities over time
  • Maintain existing advanced analytics projects in production
  • Work with vendors or Ampol IT to integrate advanced analytics into enterprise systems
  • Ensure all work follows the data science process defined by data science manager

 

Team Operations Management

  • Manage project workplans and delivery
  • Champion the use of agile project and product management techniques in Data Science
  • Ensure ongoing reliability and quality of productionised analytic solutions e.g. availability and scheduling, integration, change management, resource optimisation, documentation etc
  • Management of team members, including on-the-job coaching, professional development, performance management, and administrative duties
  • Ensure QA processes are met as defined by data science manager

 

 

Qualifications & experience

 

  • Degree in Mathematics, Statistics and/or Machine Learning
  • Software Engineering, Computer Science, Commerce
  • 5+ years in technical capacity delivering machine learning and other advanced analytics projects
  • Fluency in Python, Spark
  • Familiarity with cloud platform capabilities supporting data science delivery with Azure experience preferred
  • Familiarity with git flow and agile product development
  • Experience working with Snowflake

 

 

Skills & Knowledge

 

  • Demonstrated success delivering models supporting front-line trading teams with actionable trade strategies and measurable P&L impact
  • Experience in developing novel data science solutions
  • People and delivery management
  • Experience working with large and unstructured data sets to enable model development
  • Experience in software engineering and/or data engineering
  • Prior experience in roles responsible for data science project origination, pre-sales, or consulting
  • Familiarity with globally traded commodities and relevant analytics use cases

 

 

 

At Ampol, we’re committed to creating a workplace where everyone feels valued and respected. We embrace and celebrate diversity in all its forms, recognizing that it makes our organization stronger. We encourage applications from people of all ages, backgrounds, identities, and experiences. We invite you to bring your whole self to Ampol.

 

Want to take your career to the next level? Apply today.  

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Agile Architecture Azure Big Data Computer Science Consulting Engineering Git Machine Learning Mathematics ML models Python Snowflake Spark Statistics Unstructured data

Perks/benefits: Career development

Region: Asia/Pacific
Country: Singapore

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