Senior Data Scientist (Miguel Hidalgo)

Overview

We Are PepsiCo

Join PepsiCo and Dare for Better! We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place.

Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries.

Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.

A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.

Know more: PepsiCoJobs

Join PepsiCo, dare for better.

Responsibilities

The Opportunity

The Data Science will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open‑source toolsets. This role will also help automate the end‑to‑end cycle with Azure Machine Learning Services and Pipelines.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

Your Impact

• Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
• Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
• Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
• Use big data technologies to help process data and build scaled data pipelines (batch to real time)
• Automate the end‑to‑end ML lifecycle with Azure Machine Learning and Azure Pipelines
• Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
• Automate ML models deployments.

Qualifications

• 5+ years of overall experience that includes at least 4+ years of hands‑on work experience Data Science / Machine learning.
• Minimum 4+ year of SQL experience.
• Minimum 2+ years of Python and Pyspark experience.
• Experience in DevOps and 2+ yrs in Machine Learning (ML) with hands‑on experience with one or more cloud service providers AWS, GCP, (Azure preferred) is preferred.
• BE/B.Tech in Computer Science, Maths, technical fields.
• Stakeholder engagement-BU, Vendors.

Benefits

• Opportunities to learn and develop every day through a wide range of programs.
• Internal digital platforms that promote self‑learning.
• Development programs according to Leadership skills.
• Specialized training according to the role.
• Learning experiences with internal and external providers.
• We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.
• Financial wellness programs that will help you reach your goals in all stages of life.
• A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
• And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.