MACHINE LEARNING ENGINEER, BEAUTY CARE

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Would like to be part of an exciting innovation journey for brands like SK-II, Olay, Gillette, Pantene, Head & Shoulders, Joy & Vicks? Passionate about developing new capabilities in data science in our vibrant & growing R&D Singapore Innovation Center?

This is a unique opportunity to create the future of our leading beauty care brands as we are looking for a talented Data Scientist to join our Beauty Technology group. You will work in close partnership with multifunctional business teams, with the focus on delivering breakthrough, transformational new technology platforms for Beauty and Hair Care category.

YOUR TEAM

Located at the P&G Singapore Innovation Center, you will be part of Beauty Reveal: Data Science, Statistics, Modeling & Simulation organization. You will work in a multi-functional innovation team and commercial partners across the globe.

HOW SUCCESS LOOKS LIKE

• Novel meaningful insights extraction to enable creative solution to consumer/business problems through e.g., applying machine learning techniques coupled with clearwritten and verbal communication skill in English
• Organizational data science capability building e.g., through developing code that others can understand, adopt, and extend

KEY RESPONSIBILITIES

• Develop / implement machine learning tools to extract insights from large proprietary image and text databases
• Partner with technical experts in multi-functional teams to assess and innovate superior approaches for large-scale data analytics and integration
• Help the team deploy models to practice and make frequent model improvements as new data is available

Qualifications

• Bachelors, Masters or PhD degree in Computer Science, Applied Mathematics, or related fields
• 2+ years relevant industrial experience
• Good knowledge in a wide variety of advanced data analysis and machine learning techniques, and experience in developing solutions in response to real-world business problems
• Experience in working with large unstructured datasets, deep Learning, computer vision algorithms and applying novel machine learning techniques to generate novel insights
• Proficient with programming languages such as Python and R
• Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning framework
• Familiarity with Linux environments, and setting up and executing machine learning tasks on AWS/Google Cloud/Microsoft Azure
• Experience in working with common database platforms is a plus
• Skilled in rapid prototyping and quick experimentation in working with machine learning models
• Successful candidate will be offered fixed term contract or permanent role based on business needs/relevant skill sets for the role.