Senior Data Scientist

Viña del Mar - Chile

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Our client is a multinational company specialized in AI-powered analytics and advanced data solutions with presence in more than 45 countries worldwide. They are currently seeking a Senior Data Scientist to join their team.

Mission:

As a Data Scientist within the Data Analytics team you will support advanced marketing analytics and data science initiatives for a major retail client. Your mission is to develop robust quantitative models including Marketing Mix Models and Bayesian approaches to optimize marketing investments improve ROI and drive measurable business growth.

Main responsibilities/functions:

Marketing Mix Modelling (MMM):
Develop implement and maintain media mix and marketing mix models to quantify the impact of marketing and advertising investments across channels.
Bayesian & Quantitative Modelling:
Apply Bayesian statistics hierarchical models and causal inference techniques to uncover patterns and generate actionable insights for business decision-making.
Experimentation & Measurement:
Design and evaluate experimentation frameworks (A/B testing causal analysis) to measure the incremental impact of marketing activities at both macro and granular levels.
Machine Learning Applications:
Build and utilize machine learning models for classification regression clustering forecasting and other predictive use cases supporting marketing performance.
Optimization & Simulation:
Run simulations and optimization scenarios to guide budget allocation investment strategies and performance improvement.
Business Insight Translation:
Translate complex analytical outputs into clear business recommendations supporting growth ROI optimization and strategic marketing decisions.
Stakeholder Communication:
Prepare reports and presentations communicating findings effectively to technical and business stakeholders in an international environment.

Key competencies:

Business & Marketing Statistics:
Strong ability to apply statistical and econometric methods to real business and marketing performance problems.
Analytical Thinking:
Advanced problem-solving skills with a strong theoretical foundation in mathematics and statistics.
Machine Learning & Modelling:
Deep understanding of ML principles and hands-on experience with quantitative modelling techniques.
Programming Languages:
Advanced proficiency in Python and/or R with the ability to build scalable analytical pipelines.
Requirements Analysis:
Ability to understand business challenges and translate them into structured analytical approaches.
Communication:
Strong written and verbal English communication skills with the ability to explain complex models to diverse stakeholders.

Requirements:

Bachelors or advanced degree in Mathematics Economics Statistics Engineering Computer Science Data Analytics Digital Marketing or related field or equivalent experience.
610 years of experience in Marketing Mix Modelling Bayesian modelling retail media digital media marketing measurement and site/search analytics.
Strong expertise in Bayesian statistics hierarchical models causal inference and experimentation.
Proven experience translating analytical insights into measurable business impact (growth ROI optimization budget allocation).
Experience in the ad-tech and mar-tech industry with a deep understanding of measurement across the full customer purchase funnel.
Hands-on experience building and operationalizing MMM and advanced marketing analytics models.
Industry experience in Retail CPG or Marketing Analytics is preferred but not strictly required.
Advanced English communication skills (written and spoken).

If your profile matches the position please click on APLICAR AQUI or click on REFERIR to introduce someone you think has a good profile for the position.

Mission:

Main responsibilities/functions:

Marketing Mix Modelling (MMM):
Develop implement and maintain media mix and marketing mix models to quantify the impact of marketing and advertising investments across channels.
Bayesian & Quantitative Modelling:
Apply Bayesian statistics hierarchical models and causal inference techniques to uncover patterns and generate actionable insights for business decision-making.
Experimentation & Measurement:
Design and evaluate experimentation frameworks (A/B testing causal analysis) to measure the incremental impact of marketing activities at both macro and granular levels.
Machine Learning Applications:
Build and utilize machine learning models for classification regression clustering forecasting and other predictive use cases supporting marketing performance.
Optimization & Simulation:
Run simulations and optimization scenarios to guide budget allocation investment strategies and performance improvement.
Business Insight Translation:
Translate complex analytical outputs into clear business recommendations supporting growth ROI optimization and strategic marketing decisions.
Stakeholder Communication:
Prepare reports and presentations communicating findings effectively to technical and business stakeholders in an international environment.

Key competencies:

Business & Marketing Statistics:
Strong ability to apply statistical and econometric methods to real business and marketing performance problems.
Analytical Thinking:
Advanced problem-solving skills with a strong theoretical foundation in mathematics and statistics.
Machine Learning & Modelling:
Deep understanding of ML principles and hands-on experience with quantitative modelling techniques.
Programming Languages:
Advanced proficiency in Python and/or R with the ability to build scalable analytical pipelines.
Requirements Analysis:
Ability to understand business challenges and translate them into structured analytical approaches.
Communication:
Strong written and verbal English communication skills with the ability to explain complex models to diverse stakeholders.

Requirements:

Bachelors or advanced degree in Mathematics Economics Statistics Engineering Computer Science Data Analytics Digital Marketing or related field or equivalent experience.
610 years of experience in Marketing Mix Modelling Bayesian modelling retail media digital media marketing measurement and site/search analytics.
Strong expertise in Bayesian statistics hierarchical models causal inference and experimentation.
Proven experience translating analytical insights into measurable business impact (growth ROI optimization budget allocation).
Experience in the ad-tech and mar-tech industry with a deep understanding of measurement across the full customer purchase funnel.
Hands-on experience building and operationalizing MMM and advanced marketing analytics models.
Industry experience in Retail CPG or Marketing Analytics is preferred but not strictly required.
Advanced English communication skills (written and spoken).

If your profile matches the position please click on APLICAR AQUI or click on REFERIR to introduce someone you think has a good profile for the position.