Plano, Texas

Auto req ID: 260010BR
Job Description
This role is open to candidates in Plano, Chicago, and Purchase, NY.

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 PepsiCos 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 focused on the commercial aspect of data science. Youll create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, assortment optimization, marketing mix modeling, marketing audience selections, sales effectiveness, prescriptive analytics, in market execution, and more.

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 teams culture around data and analytics. You will provide stewardship to colleagues in the areas that you are a specialist or in which you are specializing.

Primary Accountabilities:
  • 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.
  • 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 techniques. 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 teamwork and analytics product creation (e.g., Jira, Confluence).
  • Experience with cloud services is a must, Azure is a plus.
  • 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 plusCompetencies:
  • Creative and collaborative mindsets.
  • Translates complex technical solutions into business understanding.
  • Creates solutions with the ability to continually prove accuracy and with a design goal of productization/ reusability.
    Relocation Eligible: Not Applicable
    Job Type: Regular

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

    PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

    Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

    If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law&EEO is the Law Supplement documents. View PepsiCo EEO Policy

    Please view our Pay Transparency Statement
  • Plano, Texas


    At PepsiCo, we proudly support veterans, both within our walls, and in our communities.  Veterans make our country, and our company, stronger.  VALOR, our veteran and military employee resource group, just celebrated their 10th anniversary.  Their mission is to recognize, appreciate and support military, veterans, their families and our communities and to strengthen PepsiCo's role as a leading military and business partner.

    PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated more than $70 billion in net revenue in 2020, driven by a complementary food and beverage portfolio that includes Frito-Lay, Gatorade, Pepsi-Cola, Quaker, Tropicana and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including 23 brands that generate more than $1 billion each in estimated annual retail sales.

    Guiding PepsiCo is our vision to Be the Global Leader in Convenient Foods and Beverages by Winning with Purpose. "Winning with Purpose" reflects our ambition to win sustainably in the marketplace and embed purpose into all aspects of our business strategy and brands. For more information, visit