---
title: '#5 - Data Scientist Semi Senior -  Causal Inference at Muttdata'
canonical: 'https://feeny.ai/job/5-data-scientist-semi-senior-causal-inference-muttdata-remote-v9ka812eysja'
type: 'job'
last_seen: '2026-10-17'
---

# #5 - Data Scientist Semi Senior -  Causal Inference at Muttdata

- **Company:** Muttdata
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.lever.co/muttdata/db1928cd-6615-4048-85fa-f2129519321b

## Job description

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for an analytical, curious, and business-minded  Data Scientist Semi Senior 🐶🚀 to join one of our key engagements with a leading beverage company in Mexico. You will be the go-to person for measuring what really works in growth and marketing: designing experiments, estimating causal impact, and turning the results into decisions that drive customer acquisition, retention, and revenue. This role sits at the intersection of statistics, economics, and marketing. You will work closely with marketing, growth, and commercial stakeholders, as well as with Data Engineers and Analytics Engineers, to move beyond correlations and answer questions like "Did this campaign actually cause an increase in sales?" or "Which promotions and channels deserve more budget?". A strong analytical profile, methodological rigor, and the ability to communicate findings to non-technical audiences are essential. A background in Economics (or similar quantitative fields) is highly valued.

🚀 What We Do

- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

- Amazon Web Services
- Astronomer
- Databricks

🌟 Our Values

- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset

🔍 Curious about what we’re up to? Check out [our](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our[blog post](https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! 🚀

## Responsibilities 🤓

- Design, run, and analyze A/B tests and multivariate experiments (sample size and power calculations, randomization, guardrail metrics, interpretation of results).
- Apply causal inference techniques (Difference-in-Differences, Synthetic Control, Propensity Score Matching, Instrumental Variables, Regression Discontinuity, uplift modeling) to estimate the impact of marketing campaigns, promotions, pricing, and loyalty initiatives when randomization is not possible.
- Measure and optimize marketing performance: incrementality, attribution, ROI/ROAS, customer lifetime value (CLV), and marketing mix modeling (MMM).
- Translate business questions from growth and marketing teams into well-defined analytical problems and experimental designs.
- Develop analyses, features, and models on Databricks (notebooks, Spark, Delta Lake), collaborating with Data Engineers and Analytics Engineers on data pipelines and analytical datasets.
- Build predictive and segmentation models (churn, propensity, customer segmentation) that support targeting and personalization strategies.

Required Skills

- 3+ years of experience in Data Science, Applied Statistics, Econometrics, or similar analytical roles.
- Hands-on experience with Databricks (notebooks, Spark/PySpark, Delta Lake) – required.
- Solid, hands-on experience designing and analyzing A/B tests and online/offline experiments.
- Strong knowledge of causal inference methods and their assumptions, limitations, and practical application (DiD, Synthetic Control, Matching, IV, uplift, etc.).
- Strong foundations in statistics and econometrics (hypothesis testing, regression, Bayesian and frequentist approaches, time series).
- Proficiency in Python (pandas, PySpark, statsmodels, scikit-learn) and advanced SQL.
- Experience applying data science to growth, marketing, or commercial problems (campaign measurement, pricing, promotions, customer analytics).

## Nice to Have Skills 😉

- Degree in Economics, Econometrics, Statistics, or related quantitative fields (ideally with a focus on applied microeconomics or causal inference).
- Experience in CPG, retail, consumer goods, or beverage industries.
- Experience with Marketing Mix Modeling (e.g., Meridian, Robyn, PyMC-Marketing) and media attribution.
- Experience with causal libraries (DoWhy, EconML, CausalML) and Bayesian modeling (PyMC, Stan).
- Experience with MLflow and Databricks workflows/jobs.

🎁 Perks

- 🌍 Remote-first culture – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️🏝️[Annual Mutters' Trip](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s) – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement  – Because supporting families matters too

## About Muttdata

## Company Overview
- **One-liner**: Muttdata is an AI and data consulting firm that helps enterprises build scalable data platforms, AI applications, and martech solutions.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: Buenos Aires, Argentina
- **Founded**: 2018
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: IT Services and IT Consulting, with a focus on Data & AI, Martech, and Adtech solutions.
- **Target customers**: B2B, enterprise clients in retail, ecommerce, CPG, financial services, telecom, healthcare, and gaming.
- **Mission or purpose statement**: “We craft AI and data-driven technology with precision and empathy, transforming complexity into scalable solutions that deliver smarter business outcomes.” [muttdata.ai/about-us](https://www.muttdata.ai/about-us)

## Products & Services
Muttdata delivers a range of service offerings rather than standalone products. Major capabilities include:
- **Data Solutions**: Modern Data Stack, Customer Data Platform, Data Clean Rooms, Identity Resolution.
- **Custom Models**: Tailored machine learning models for specific business needs.
- **Measurement & Attribution**: Single source of truth, Data-Driven Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), Lift measurement.
- **Paid Media Optimization**: Cross-channel optimization, AI-fueled forecasts and recommendations.
- **Own Media Personalization**: Gen-AI-driven personalized messages for organic growth and retention.
- **Gen AI Applications**: Fashion Model Generation, Virtual Try On, Localized Tailored Ads.
- **Data Infrastructure**: Data Warehouses & Lakes, DataOps, Real-Time Insights with OLAP & Streaming.
- **Data Engineering**: Data Quality and Integration, Customer 360 Platforms, Compliance & PII Protection.
- **AI Applications**: Balance Reconciliation (AI for suspicious activity), Credit Scoring (lower first-payment default rates).

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: 171 employees (as of 2026, +13.9% YoY), 300+ projects successfully deployed [linkedin.com](https://ar.linkedin.com/company/mutt-data)
- **Notable Clients**: Mercado Libre, Clip, Claro, Rappi, Galicia, Mabe, Ripley, BCP, Forus, MODO, Social Learning, ClassDojo, RapidSoS, InConcert, Connecture, Sirum [linkedin.com](https://ar.linkedin.com/company/mutt-data)
- **Notable Partners**: AWS (Advanced Consulting Partner, sole SOLA partner with Advertising and Marketing Technologies Competency, Machine Learning Consulting Competency), Databricks (Select Tier partner, AI Enterprise Partner of the Year 2025, 90+ certified experts) [muttdata.ai](https://www.muttdata.ai/)
- **Growth Signals**: Headcount growth of 13.9% YoY, recognition as Databricks LATAM AI Enterprise Partner of the Year, expansion into US market, and active hiring for roles like Agentic AI DevOps Specialist.

## Competitive Advantages
- Deep, certified expertise in both AWS and Databricks ecosystems, rare in the LATAM region.
- Full-stack Data/ML team with 10+ years of experience across industries.
- Rapid delivery model (tangible results within weeks) using Agile Pods.
- Strong track record with major Latin American enterprises and global tech companies.

## Strategic Focus
- Expanding AI and data-driven solutions for enterprise clients, with a growing emphasis on agentic AI, generative AI personalization, and advanced attribution.
- Building out capabilities in real-time data infrastructure and compliance.
- Scaling the team across LATAM and the US while maintaining a remote-first culture.

## Why Work Here
- **Remote-first culture**: “Remote since before it was cool” – fully remote positions available, with a focus on outcome rather than hours. [muttdata.ai/culture](https://www.muttdata.ai/culture)
- **Perks**: AWS & Databricks certifications fully covered; birthday off; an extra vacation week (“Mutt Week”).
- **Culture**: Collaborative, curious, ownership-driven. High employer rating of 4.6/5.0 on LinkedIn (71 reviews), with strong scores in Culture (4.7) and Career (4.6). [linkedin.com](https://ar.linkedin.com/company/mutt-data)
- **Open roles**: Agentic AI DevOps Specialist, Data Analytics Senior (Remote – Argentina), Data Engineer Lead – Databricks – Eng (Remote – LatAm). [jobs.lever.co/muttdata](https://jobs.lever.co/muttdata)

## Sources
1. [muttdata.ai](https://www.muttdata.ai/)
2. [muttdata.ai/about-us](https://www.muttdata.ai/about-us)
3. [muttdata.ai/culture](https://www.muttdata.ai/culture)
4. [jobs.lever.co/muttdata](https://jobs.lever.co/muttdata)
5. [linkedin.com](https://ar.linkedin.com/company/mutt-data)

## Other roles at Muttdata

- [Martech Specialist](https://feeny.ai/job/martech-specialist-muttdata-buenos-aires-3nkhnba8yt1c) — Buenos Aires, Argentina
- [Machine Learning / AI Engineer Lead - Databricks - Eng](https://feeny.ai/job/machine-learning-ai-engineer-lead-databricks-eng-muttdata-argentina-dj02hjsc3me5) — Argentina
- [Machine Learning / AI Engineer Senior - Databricks - Eng](https://feeny.ai/job/machine-learning-ai-engineer-senior-databricks-eng-muttdata-argentina-w5c4ycfj1xam) — Argentina
- [Accounting Analyst](https://feeny.ai/job/accounting-analyst-muttdata-buenos-aires-j8shkds8624d) — Buenos Aires, Argentina
- [#10 Backend Platform Engineer Senior (Python/FastAPI)](https://feeny.ai/job/10-backend-platform-engineer-senior-python-fastapi-muttdata-buenos-aires-f0chgtwpmb04) — Buenos Aires, Argentina
- [#9 AI Backend Engineer Senior](https://feeny.ai/job/9-ai-backend-engineer-senior-muttdata-buenos-aires-06cqwbtwt03t) — Buenos Aires, Argentina
- [#2 - Senior Machine Learning Engineer - Databricks](https://feeny.ai/job/2-senior-machine-learning-engineer-databricks-muttdata-ciudad-de-vd8pbaqvkn46) — Ciudad de, Mexico
- [#12 Data Governance & Platform Lead](https://feeny.ai/job/12-data-governance-platform-lead-muttdata-buenos-aires-m5ctqct4kakf) — Buenos Aires, Argentina
- [Machine Learning Engineer Databricks - Mexico](https://feeny.ai/job/machine-learning-engineer-databricks-mexico-muttdata-mexico-g7snqdp6jpy5) — Mexico
- [Data Engineer Databricks - Mexico](https://feeny.ai/job/data-engineer-databricks-mexico-muttdata-mexico-6a2x085yjzw9) — Mexico