Data Science Sr Analyst

Key Skills

Java Programming, Design, Python Programming, SQL, Azure, PowerBI, Machine learning techniques, Deep Learning, Natural Language Processing (NLP), Docker, Continuous Integration & Continuous Delivery - CI/CD, PySpark, KPIs, Databricks, Data pipelines, ETL frameworks

Job Description

Your role will be to be part of growing team based in Barcelona, to create and support global digital developments for PepsiCo. These developments will be focus on Consumer Analytics and Innovation but with the option in the future to collaborate into other fields such as revenue management, supply chain, manufacturing, logistics.

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 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.

This Role Will Support The Following Activities

• Refine requirements into modelling problems.
• Set KPIs and metrics to evaluate analytics solution given a particular use case.
• Research state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create reusable packages or libraries
• Work with cloud environments (such as Databricks)
• Build CI / CD pipelines
• Support large-scale experimentation and build data-driven models.
• Using visualizations tools (such as PowerBi) to demonstrate insights of the data&results.
• 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 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.
• Influence product teams through data-based recommendations.

Qualifications/Requirements

• Fluent in git (version control, pre-commit tools), SQL, Python, PySpark syntaxis.
• Experience writing tests (Pytest) with Python.
• 5+ years’ experience in ETL and/or data wrangling techniques.
• 5+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
• Experience working with Time Series Data.
• Experience in developing business problem using Databricks.
• Building Docker images.
• Experience with Bayesian methods.
• Experience with distributed machine learning
• Experience with cloud services
• Comfortable with Python tooling (building CI / CD pipelines, configurations, …)
• Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool (preferable PowerBi).
• 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 Azure Boards and Wiki.
• Experiences with Deep Learning are a plus.
• Experience in Reinforcement Learning is a plus.
• Experience in Simulation and Optimization problems in any space is a plus.
• Experience with Causal inference is a plus.
• Experience with NLP is a plus.
• Experience with working with FAIR data is a plu