Overview: WHAT MAKES YOU UNIQUE MAKES US BETTER Are you interested in a career in Data & Analytics at PepsiCo?
Then now is the time to explore the opportunities at PepsiCo: join us as the next Data Science Analyst.
Working with inspiring and experienced colleagues, you'll find that the atmosphere in our office in Barcelona/Vitoria is informal and engaging.
With an active, get-things-done culture, this is a place where your dynamism and agility will make a difference.
Data Science Analyst PepsiCo operates in an environment undergoing immense and rapid change, in part driven by emergent retail technologies.
To ensure continued success in the food and beverage space, PepsiCo has assembled a dedicated Sales Effectiveness Data Science (SE-DS) Team - tasked with optimizing our sales operations and developing innovative solutions that will give PepsiCo a sustainable competitive advantage.
This SE-DS team forms part of the broader global Data Science group within our global Data & Analytics (D+A) organization.
While tied closely to the broader organization, this team can be seen more as a flexible, experimental and execution-focused group; embracing the core values of having a bias for action, being results-oriented, maintaining a community focus, and prioritizing people.
The team consists mainly of data scientists, technology specialists, and business innovators who operate directly with business teams and/or functional stakeholders, with the objective of quickly adding value to the business through innovative, quickly executed and often experimental solutions, while always focusing on future global scalability of each solution.
What the PepsiCo Data Science Sales Effectiveness Team does: Build machine learning systems to understand and solve business problems.Perform statistical analysis across diverse datasets to drive and measure performance.Work with PepsiCo's strategic partners to expand their technical capabilities, thereby creating a more robust data environment.Add quick value to the business through fast and geographically fenced POCs that, if successful, have the potential to be scaled into global tools that drive automation and optimize business operations.Create basic visualization on demand (e.g., Power BI, Tableau) to facilitate storytelling toward business stakeholders.As a Data Science Analyst, you will play a critical role in executing the global DS-SE growth agenda.
You will work directly with members of this team in identifying, designing, and implementing data science/machine learning solutions to address business problems.
Responsibilities: Work within the SE-DS team to analyze (large) data sets.Assist in the development of custom models/algorithms to uncover trends, patterns and insights.Write clean, organized machine learning code using standard software engineering methodologies.Explain your findings and conclusions both to a Data Science audience as well as to a business audience.
Always keep in mind the business relevance of your work.Integrate into a multidisciplinary team, collaborate with other members to improve the overall team efficiency and results.Create and maintain documentation for insights and knowledge transfer.Qualifications: Master's Degree in Data/Computer Science, an engineering or scientific discipline, or equivalent experience.
Other academic backgrounds are not automatically discarded though.Experience and familiarity with Python, in particular, data processing, feature engineering and data modelling using relevant/standard Python libraries.Familiarity with mathematical models underlying data science methods.Demonstrated ability to effectively and concisely communicate with both business and technical audiences.Experience in building complete ML solutions, including data exploration, model design and evaluation (model deployment is considered a pre-requisite).Business storytelling and communicating data insights in a business consumable format.Fluent in Git.Experience with Cloud computing platforms (ideally Azure and/or DataBricks).Agile methodology for teamwork and analytics 'product' creation.What makes us different? Hybrid working model: combination of remote and collaborative office experience to enable innovation.Flexible work schedule.Variety of benefits to support your physical, emotional and financial wellbeing.Professional growth possibilities & learning opportunities.Volunteering opportunities to help external communities.Space to be you to promote our Diversity & Inclusion strategy.Being you at PepsiCo: PepsiCo is an equal opportunity employer, committed to helping people lead healthier lives and supporting workforce diversity.
We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief, and disability.
Planet + People: PepsiCo Positive (pep+) is how we'll transform the world.
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