Machine Learning Engineer Sr Analyst

Key Skills

Data Wrangling, Databricks, Deep Learning, ETL frameworks, Machine learning techniques, Regression Analysis, SQL

Job Description

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 Dallas, 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 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.

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.

Responsibilities

• 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.
• Build complex datasets for Model Consumption from multiple data elements. Support building data ingestion pipelines for optimal efficiency.
• Partner with ML engineers and data scientists working globally regarding data pipelines and data versioning and create scalable model ready data.
• Partner with Data Scientists & ML engineers working on model industrialization in Azure cloud.
• Build, deploy or publish model ready data for machine learning models to run efficiently in cloud pipelines.
• Help drive optimization, testing, and tooling to improve quality (unit tests).
• Prototype new approaches and build solutions at scale.
• Support large-scale experimentation done by data scientists.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create and audit reusable packages or libraries.

Qualifications

• BE/BS in Computer Science, Math, Physics, or other technical fields.
• 4+ years of hands-on work experience data science / Machine learning
• 4+ years working in a team to deliver production level analytic solutions.
• 3+ years’ experience in ETL and/or data wrangling techniques.
• 3+ Experience in Databricks and Spark, including Databricks integration with ML models.
• 3+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
• 3 + Experience with ADF
• 1 + Experience with working with relational databases like SQL Server
• 1+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
• Experience working with Retail/CPG Syndicated Data sources, including IRI, Nielsen, SPINS, and Numerator, for CPG commercial analytics use cases is a plus
• Experience building solutions in the Commercial, Net revenue Management or Supply chain space is a plus
• Experience with Agile methodology for teamwork and analytics ‘product’ creation is a plus.
• Experience with Git (version control)
• Experience with Azure Dev Ops
• Experience with Azure cloud services. Certification is a plus.
• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.

Competencies:

• 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.

EEO Statement

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

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