Data Science/Machine Learning Engineer

Key Skills

Apache Hadoop, AWS, Azure, Data science techniques, Data Visualization, Database, Deep Learning, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, matplotlib, NoSQL, Python Programming, PyTorch, R Programming, Scikit-learn, seaborn, SPARK Programming, SQL, Tableau, TensorFlow

Job Description

As a Data Science/Machine Learning Engineer you will be the driving force behind everything we do at P&G. Across the world, you will find thousands of scientists, engineers and developers working in manufacturing plants, innovation centers and distribution facilities.

You will be a key member of the engineering team driving end-to-end data and analytical solutions supporting the development, learning, and operational insights for our critical new engineering led initiatives in equipment, process, packaging, customization and supply chain. You will apply Data Science and Analytics techniques to support our Fabric and Home Care business and fuel our value creation pipeline by:

You will be in the ideal place to work on groundbreaking improvements at our manufacturing sites to apply Data Science and analytics technologies to support our Fabric and Home Care Business and fuel our value creation via digital solutions. Our aim is to ignite your potential and equip you to enhance the capability, safety, security, and productivity of all our systems while reducing cost and boosting sustainability.

What we offer!

• Wide range of challenging engineering assignments in one of the most influential companies in the world;
• Development and delivery of cutting edge technologies supported by multi-million capital investments;
• Leadership onboarding program including 6-12 months placement in different functions of our supply chain enabling you to see the business and each functions‘ unique data ;
• Extensive and structured training process supported by a dedicated coach. Mentorship program to accelerate your growth and reach your potential;
• Informal and friendly international work environment of an offshore engineering office delivering technical projects across the world;
• International travel to the project locations to see your design come to life;
• Very competitive compensation and benefits including pay for performance and flexible work arrangement.

Job Responsibilities

• Partnering with our global teams to identify needs to help our production floor, facilitate our work processes, or improve our Business in generalDevelop analysis of equipment and work processes with relevant data sources by identification and implementation of performance indicators
• Guiding and supporting implementation of systematic use of advanced analytics in Product Supply organization, in collaboration with domain expert and information systems specialists
• Engage project teams to understand project needs/requirements and provide technical expertise with data and analytical tools.
• Design digital solutions that facilitate the access to information contained in the data by providing access, pertinent analysis, appropriate visualization techniques as well as the workflow to support efficient decision making in production environment
• Collaborate with data leaders and multi-discipline teams to design, develop and ensure critical data systems infrastructures and integration offer critical data model availability and scalability.
• Design of digital solutions to be embedded into our production control strategies
• Support roll-out of successful solutions by defining scale-up approach and global deployment strategy Data Model definition and documentation for deployable solutions
• Explore emerging capabilities and Artificial Intelligence/Machine Learning for flawless integration and application between data scientist, functional specialists and their key user cases..
• Your first assignment gives you the chance to set technical direction by applying and building mastery in our Product Supply Engineering innovation and delivery efforts, while demonstrating diverse data, analytics and visualization skills.
• You have clear responsibilities that stretch your technical abilities. You will work in professional and entrepreneurial cross-functional teams while receiving valuable mentoring as well as functional and corporate trainings.

Job Qualifications

Required

• Bachelors Degree in Computer Science or related field
• Strong background in statistics, mathematics, and computer science, with a focus on machine learning and data science.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning techniques, such as regression, classification, clustering, natural language processing, deep learning, and reinforcement learning.
• Experience with data manipulation and analysis using SQL and/or NoSQL databases. Ability to preprocess and clean data, handle missing values, and perform feature engineering.
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to effectively communicate insights.
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
• Strong problem-solving skills and the ability to develop innovative solutions to complex business challenges.
• Excellent communication skills with the ability to present complex findings in a clear and understandable manner to both technical and non-technical stakeholders.
• Strong attention to detail, with the ability to work independently and manage multiple projects simultaneously.

Preferred

• University Master degree in Computer Science, Computer Engineering, Data Engineering or similar with good academic results and a maximum of 3 years previous work experience

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.

Immigration sponsorship is not available for this role. As a general matter, Procter & Gamble does not sponsor candidates for nonimmigrant visas or permanent residency. However, Procter & Gamble may make exceptions on a discretionary basis. Any exceptions would be based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.