Lead Data Scientist (MMM)
Lead Data Scientist (MMM)
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Job Description
- Develop and deploy scalable machine learning models using Python
Build and implement end-to-end MMM.
Define and enforce best practices for model testing monitoring and deployment governance.
Collaborate with data engineers product teams and business stakeholders to deliver actionable ML solutions.
Conduct model validation and performance evaluation ensuring fairness robustness and reproducibility.
Drive efficiency and scalability in MMM workflows through automation and distributed computing.
Stay up to date with emerging trends in MMM ML MLOps and Snowflake ecosystem to continuously improve solutions.
Qualifications :
Proficiency in statistical modeling techniques especially linear regression Bayesian models time series or causal inference methods.
Experience with MMM frameworks (e.g. Robyn lightweightMMM custom solutions).
Strong programming skills in Python or R for data manipulation and modeling.
Experience with data visualization tools like Tableau Power BI or libraries like Matplotlib Seaborn ggplot2.
Familiarity with SQL for querying structured databases.
Knowledge of media metrics (e.g. impressions GRPs CPM ROAS etc.) and digital marketing channels (Facebook Google Ads TV OOH etc.).
Deep understanding of model validation multicollinearity adstock/decay effects saturation curves.
Experience with incrementality testing causal impact analysis or A/B testing.
Exposure to Bayesian modeling approaches (e.g. PyMC Stan) is a strong plus.
What about languages
Excellent written and verbal English is required to ensure effective communication with team members and stakeholders.
How much experience must I have
Minimum of 5 years of experience in Data Science with proven expertise in MMM.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans courses and additional certifications tailored to your role.
Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
Company-provided equipment.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
