Remote Senior Data Scientist - Growth & Marketing Analytics

Muttdata; Ciudad de México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first culture

Certifications covered (AWS/DBT/Cloud)

Birthday off + extra vacation week

Referral bonuses

Maslow benefits marketplace credits

Annual company retreat

Descripción de la vacante

Muttdata is a remote-first data science startup building ML-powered data products for clients, including a beverage company in Mexico. We seek a Senior Data Scientist to design experiments, estimate causal impact, and drive data-informed decisions that boost acquisition, retention, and revenue.

You will work across statistics, economics, and marketing, collaborating with data engineers and analytics engineers to deliver scalable analytics and analytics-ready datasets on Databricks.

Formación

• 3+ years in Data Science, Analytics, or Econometrics.
• Hands-on Databricks (Spark/PySpark) experience required.
• Proven track record with online/offline experiments.

Responsabilidades

• Design, run, and analyze A/B and multivariate experiments.
• Apply causal inference methods to measure marketing impact.
• Measure incrementality, ROI/ROAS, CLV, MMM.
• Translate business questions into analytical experiments.
• Develop analyses on Databricks and collaborate with engineers.
• Build predictive/segmentation models to support targeting.

Conocimientos

Databricks (PySpark)

A/B testing design

Causal inference

Python (pandas, scikit-learn)

SQL

Marketing analytics

Experiment design

Econometrics basics

Educación

Economics / Statistics degree

Quantitative field preferred

Herramientas

Spark

Delta Lake

DoWhy / EconML (nice to have)

Descripción del empleo

Muttdata is a remote-first data science startup building ML-powered data products for clients, including a beverage company in Mexico. We seek a Senior Data Scientist to design experiments, estimate causal impact, and drive data-informed decisions that boost acquisition, retention, and revenue.

You will work across statistics, economics, and marketing, collaborating with data engineers and analytics engineers to deliver scalable analytics and analytics-ready datasets on Databricks.