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Hays Linkedin · Posted 21d ago

Junior Data Scientist

Mexico City

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Indexed description

Mandate of the role

Strengthen business performance by transforming data and insights into measurable business growth through advanced analytics, predictive modeling, machine learning, and data-driven personalization that enable proactive decision-making and enhance business performance across the company.


Role responsibilitie

  • Develop and optimize predictive models to quantify the impact of merchandising, supply chain, customer, loyalty, and omnichannel marketing initiatives
  • Translate advanced modeling and ML outputs into actionable insights that guide business decisions and strategies
  • Build and operationalize Python/R models and simulations that support scenario planning, optimization, and strategic decisions
  • Ensure data quality and pipeline integrity across business domains and deliver data-driven recommendations
  • Collaborate with business teams to design personalized targeting, segmentation, and experimentation


Parameters for success

Objectives

  • Deliver robust predictive models and advanced analytics that enable business decisions.
  • Enhance impact by applying data-driven recommendations across business domains

KPIs

  • Predictive model performance and measurable business impact
  • Quality and reliability of code, pipelines, and documentation


Profile

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related fields
  • 1–3 years of experience in data analytics, statistical modeling, or machine learning
  • Experience coding in Python or R, with familiarity in version control
  • Knowledge of SQL and familiarity with PySpark, with exposure to cloud environments like Azure
  • Advanced English Proficiency (C1)
  • Solid data storytelling and communication skills
  • Strong analytical thinking and problem-solving mindset
  • Knowledge of customer analytics, loyalty programs, and marketing measurement


What to expect

  • Learning-driven environment suitable for early-career professionals seeking to deepen expertise in modern data technologies
  • Build a purpose-driven career where ideas accelerate loyalty, engagement, and innovation


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