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Full-time
Posted 1d ago
Apply by Jun 26
~40 hrs/week
Responsibilities
Lead the development and implementation of deployable machine learning models to solve business problems across supply chain, logistics, and consumer insights. Collaborate with product managers and data engineers to translate business requirements into technical roadmaps and industrialized solutions.
Requirements
Requires over 5 years of experience in production-level analytics and ETL, with strong proficiency in Python, SQL, and PySpark. Mandatory expertise in Azure cloud services, Reinforcement Learning, and Simulation/Optimization is required.
Full job description
Overview
Your role will be to be part of growing team based in Barcelona, to create and support global digital developments for PepsiCo. As a Data Science Senior Analyst, you will play a pivotal role in leveraging advanced analytics and machine learning to deliver impactful solutions across critical business topics such as Consumer Insights, Revenue Management, Supply Chain, Manufacturing, and Logistics.
You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, beginning from the discovery phase through to implementation. You’ll collaborate closely with process owners, product managers, and end-users to ensure your developments are aligned with business priorities and drive measurable outcomes.
You will be an internal ambassador of the team’s culture around data and analytics fostering a culture of innovation, analytics, and collaboration fostering a culture of innovation, analytics, collaboration, and being a data driven leader . You will provide stewardship to colleagues in the areas that you are a specialist or you are specializing contributing to the team’s growth and success in data and analytics.
Responsibilities
Contributing member in a digital project acting as tech lead for the project.
Act as a subject matter expert in one other digital project.
Be the lead contributor in innovation activities
Partner with product managers in taking DS requirements and assessing DS components in roadmaps.
Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
Lead ML engineers to industrialize solutions.
Contribute with work activities that involve Business teams, other IT services and as required.
Drive the use of the Platform toolset and to 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.
Support in creation reusable packages or libraries.
Qualifications
5+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
5+ years’ experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis.
3+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
3+ 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 ADO, Confluence.
Experience with Azure cloud services is a must.
Experience in Reinforcement Learning is a must.
Experience in Simulation and Optimization problems in any space is a must.
Experience with PYSPARK is a must.
Experience with NLP is a plus.
Experience with LLM 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
Related keywords
Data ScienceMachine LearningPythonScalaSQLPySparkAzureReinforcement LearningSimulationOptimizationNLPLLMETLGitJenkinsDocker
PepsiCo is a playground for curious people. We invite thinkers, doers, and changemakers to champion innovation, take calculated risks, and challenge the status quo. From executives to team members on the front lines, we’re excited about the future. We take chances. Together, we dare to make the world a better place.
Our associates are the magic ingredient. Each of them plays an integral role in helping create deep connections between people and our products. Think about your last group celebration: Chances are, one of our iconic brands was by your side. At PepsiCo, you’re invited to be a part of a global team of innovators who make, move, and sell these products—which are enjoyed by more than 1 billion people a day.
A career at PepsiCo means working in a culture where everyone’s welcome. Here, you can dare to be yourself. No matter who you are or where you’re from, you can influence the people around you and the world at large. By showing up, you’ll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet.
Join us. Dare for Better.
Offices: 700 Anderson Hill Road, Purchase, New York 10577, US · 63 Kew Road, Richmond, Surrey TW9 2QL, GB · PepsiCo International - UK & Ireland, 1600 Arlington Business Park, Theale, Berkshire RG7 4SA, GB · WTC ALMEDA PARK - Pl. de la Pau s/n, Edificio 7, Planta Baja, Cornella de Llobregat, Barcelona, Cataluña 08940, ES · 1480 Chattahoochee Ave NW, Atlanta, GA 30318, US
How many Science & Research jobs are open in Albuquerque, NM right now?
There are currently 146 open science & research positions in Albuquerque, NM listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Albuquerque, NM?
Companies currently hiring include Boeing, The University of New Mexico Health Sciences Center, Collaborative for Higher Education Shared Services, Lovelace Biomedical Research Institute, ARA, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Albuquerque, NM?
Yes — 23 of the 146 open science & research positions offer remote or hybrid work (10 remote, 13 hybrid).
How do I apply for Science & Research jobs in Albuquerque, NM?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.