Principal Data Scientist
Company: PepsiCo Inc.
Posted on: January 16, 2022
Auto req ID: 231117BR Job Description Locations Open to: Plano,
TX; Purchase, NY or NYC About Pepsico! PepsiCo is a global food and
beverage leader with a product portfolio including 22 brands that
generate more than $1 billion each in annual retail sales. Our main
businesses Quaker, Tropicana, Gatorade, Frito-Lay and Pepsi-Cola
make hundreds of enjoyable foods and beverages that are loved
throughout the world. At PepsiCo, you get the best of both worlds:
an entrepreneurs mindset plus reach and resources. Our
collaborative culture and worldwide presence generate a stream of
new opportunities to define the future and propel your lifes work.
Bring your unique perspective. Bring curiosity. Bring ingenuity,
and drive. Well give you a platform to be daring on a global scale.
About Data & Analytics: 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. Job Description: Your role will be to be part of a
growing team called Digital Hub, based in Plano, to create and
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
for 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 with the correct visibility and understanding of the
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 you are specializing. This Role Will Support The
Following 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. Coordinate work activities with Business teams,
other IT services and as required. Drive the use of the Platform
toolset and also focus on 'the art of the possible' demonstrations
to the business as needed. 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/Requirements 4+ years of experience
building solutions in revenue management or in the supply chain
space. 6+ years working in a team to deliver production-level
analytic solutions. Fluent in git (version control). Understanding
Jenkins, Docker are a plus. 6+ years experience in ETL and/or data
wrangling techniques. Fluent in SQL syntaxis. 6+ years experience
in Statistical/ML techniques to solve supervised (regression,
classification) and unsupervised problems. Experiences with Deep
Learning are a plus. 6+ years experience in developing business
problem related statistical/ML modeling with industry tools with a
primary focus on Python or Scala development. Business storytelling
and communicating data insights in a 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. Fluent in Jira,
Confluence. Experience with Azure cloud services 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 plus
Relocation Eligible: Not Eligible for Relocation 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","city":"Plano","state":"Texas Out performing ourselves
is a rush. That's why we perform with purpose. Together, we blaze
new trails, succeed, celebrate and then do something even bigger.
We never settle for second best. At PepsiCo we're not just
committed to performing well as individuals, but as a team, to
strengthen the company as a whole. Around the world, we're working
hard to give people the tastes they crave and the nutrition they
need. We dream globally and act locally, constantly innovating to
sustain our planet, our people, our communities and our business
practices. New markets mean new ways of doing business, and new
ways of addressing health concerns, cultural differences and
environmental challenges. Every day is an adventure, and an
opportunity for personal and professional growth.
Keywords: PepsiCo Inc., Plano , Principal Data Scientist, Other , Plano, Texas
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