#7 - Senior Data Scientist & AI - Databricks

Muttdata

15d•Remote

About The Position

Muttdata is hiring a Senior Data Scientist & AI to join its remote-first team for an opportunity supporting a leading multinational beverage company based in Mexico City. The role is part of a multidisciplinary team developing the “Perfect Order” and machine-learning and artificial-intelligence solutions to enhance the digital customer journey in a large-scale B2B application used by hundreds of thousands of customers across nine countries. The position focuses on AI-driven products such as recommendation and personalization systems, customer segmentation, digital behavior analysis, notification optimization, and churn prediction. The Data Scientist will work with Product, Engineering, and Business teams to design scalable, data-driven solutions intended to improve customer engagement, optimize user experiences, and deliver measurable business impact.

Requirements

Hands-on experience developing and implementing machine-learning and artificial-intelligence solutions.
Strong proficiency in Python and SQL.
Solid knowledge of statistics, exploratory data analysis, and feature engineering.
Strong understanding of machine-learning algorithms, predictive modeling, and statistical techniques.
Experience with recommendation systems, personalization, customer segmentation, digital behavior analysis, churn prediction, or similar use cases.
Experience developing scalable machine-learning and AI solutions.
Familiarity with Databricks and Apache Spark.
Ability to analyze complex datasets and translate findings into actionable business insights.
Strong analytical thinking, problem-solving, and communication skills.
Ability to collaborate effectively with multidisciplinary teams and communicate technical results to business stakeholders.

Nice To Haves

Experience working with large language models (LLMs).
Knowledge of AI agents and agentic systems.
Familiarity with MLOps practices and tools.
Experience deploying and maintaining machine-learning and AI models in production environments.
Knowledge of job orchestration, compute resources, model deployment, monitoring, and maintenance.
Experience working with event data, user tracking, and application tagging.
Experience collaborating closely with Product, Engineering, and Business teams to develop data-driven products.

Responsibilities

Design, develop, and implement machine-learning and AI solutions to enhance the digital customer experience.
Build and optimize recommendation and personalization models to deliver relevant products, content, and actions to users.
Develop customer segmentation and behavioral analysis models to better understand user preferences and interactions.
Design predictive models for customer churn detection and prevention.
Develop notification orchestration and prioritization models to optimize customer engagement throughout the digital journey.
Perform exploratory data analysis, statistical analysis, and feature engineering to identify patterns and opportunities.
Develop scalable machine-learning solutions capable of processing large volumes of data across multiple markets.
Collaborate with cross-functional teams to translate business challenges into machine-learning and AI solutions.
Evaluate model performance, validate results, and continuously improve predictive accuracy and business impact.
Communicate insights, model outcomes, and actionable recommendations to technical and non-technical stakeholders.