Data Science Senior Analyst

hace 3 días

Ciudad de México, Ciudad de México PepsiCo A tiempo completo
About the Role

We are seeking a highly skilled Data Science Senior Analyst to join our global team at PepsiCo. As a key member of our data science team, you will play a pivotal role in shaping the future of data science and delivering impactful business solutions on a global scale.

Key Responsibilities
  • Contribute to digital projects, collaborating with team members to ensure successful project execution.
  • Assist in defining and integrating data science needs into product roadmaps.
  • Support ML engineers in transitioning models to scalable, production-ready solutions.
  • Provide data-based recommendations to influence product teams and drive strategic decision-making.
Technical Expertise
  • Provide subject matter expertise and technical support for digital projects.
  • Ensure seamless data access and preparation for model development.
  • Build and validate models to address complex business challenges.
  • Support the adoption and use of the Platform toolset, showcasing 'the art of the possible' through demonstrations to business stakeholders as needed.
Innovation and Research
  • Actively participate in innovation activities, exploring and implementing cutting-edge data science techniques.
  • Stay current with state-of-the-art methodologies, conducting research to integrate the latest advancements into the team's work.
  • Assist in large-scale experimentation, building and validating data-driven models to solve complex business problems.
Collaboration and Coordination
  • Assist product managers in understanding data science requirements and assessing DS components in roadmaps.
  • Coordinate work activities with business teams, IT services, and other relevant stakeholders to ensure cohesive project progress and integration.
Performance and Metrics
  • Help define key performance indicators (KPIs) and metrics to evaluate the effectiveness of analytics solutions for specific use cases.
  • Translate business requirements into well-defined modeling problems.
Documentation and Standardization
  • Document processes, findings, and developments comprehensively.
  • Develop reusable packages or libraries to enhance efficiency and standardize practices.
Requirements
  • Minimum of 4 years of experience working in the commercial, insights, revenue management, supply chain, manufacturing, or logistics sectors.
  • 4+ years of experience working in a team to deliver production-level analytic solutions.
  • 4+ years of experience in ETL and/or data wrangling techniques. Fluent in SQL syntax.
  • 2+ years of experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
  • 2+ years of experience in developing business problem-related statistical/ML modeling with industry tools, primarily focusing on Python or Scala development.
  • Hands-on experience in deploying machine learning models into production and working with large datasets.
  • Experience with big data technologies like Spark, Hadoop, or similar frameworks.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Fluent in version control systems like Git.
Preferred Qualifications
  • Understanding of FAIR data principles and Responsible AI practices.
  • Familiarity with Jenkins and Docker.
  • Knowledge of advanced techniques such as Reinforcement Learning, Simulation, Optimization, Bayesian methods, NLP, and distributed machine learning.
  • Experience with Deep Learning.
  • Exposure to data visualization tools like Tableau, Power BI, or similar will be advantageous.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a workforce and innovation for the organization.

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