DATA SCIENTIST

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 PepsiCo Data & Analytics Overview.
With data deeply embedded in our DNA, PepsiCo Data & Analytics transforms data into consumer delight.
We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence.
Our platform of data products and services ensures data is activated at scale.
This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
The Data Science Pillar in D+A will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization.
Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo.
DS will provide the talent for the development and support of DS component and its life cycle within D+A Products.
And will support “pre-engagement” activities as requested and validated by the prioritization framework of D+A.
Position Overview.
Your role will be to be part of growing team based in Monterrey to support global digital developments for PepsiCo.
These developments will be around topics like revenue management, supply chain, manufacturing, logistics.
You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase.
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.
You will be an internal ambassador of the team’s culture around data and analytics.
You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing.
Your Impact As Data Scientist your responsibilities would consist of Active contributor to code development in projects and services Act as contributor in innovation activities Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
Partner with ML engineers working on industrialization.
Communicate with business stakeholders in the process of service design, training and knowledge transfer.
Support large-scale experimentation and build data-driven models.
Set KPIs and metrics to evaluate analytics solution given a particular use case.
Refine requirements into modelling problems.
Influence product teams through data-based recommendations.
Research in state-of-the-art methodologies.
Create documentation for learnings and knowledge transfer.
Create reusable packages or libraries.
Qualifications Who Are We Looking For? 2+ years’ experience building solutions in the commercial or in the supply chain space.
2+ years working in a team to deliver production level analytic solutions.
Fluent in git (version control).
Understanding of Jenkins, Docker are a plus.
2+ years’ experience in ETL and/or data wrangling Fluent in SQL syntaxis.
2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
Experiences with Deep Learning are a plus.
2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
Business storytelling and communicating data insights in business consumable format.
Fluent in one Visualization tool.
Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation.
Fluent in Jira, Confluence.
Experience with Azure cloud services is a must.
Experience in Reinforcement Learning is a plus.
Experience in Simulation and Optimization problems in any space is a plus.
Experience with Bayesian methods is a plus.
Experience with Causal inference is a plus.
Experience with NLP is a plus.
Experience with working with FAIR data is a plus.
Experience with Responsible AI is a plus.
Experience with distributed machine learning is a plus If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements.
What can you expect from us.
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.