--- title: '# 6 Data Scientist Senior – Customer Segmentation & Classification (RTM) at Muttdata' canonical: 'https://feeny.ai/job/6-data-scientist-senior-customer-segmentation-classification-rtm-muttdata-qz1234sys819' type: 'job' last_seen: '2026-10-31' --- # # 6 Data Scientist Senior – Customer Segmentation & Classification (RTM) at Muttdata - **Company:** Muttdata - **Location:** Ciudad de, Mexico - **Work type:** remote - **Posted:** 2026-10-27 - **Last confirmed live:** 2026-10-31 - **Apply:** https://jobs.lever.co/muttdata/a04ccdfb-28fa-4c92-821b-f6eb65b2dbb7 ## Job description πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€ 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. This opportunity is with a leading multinational beverage company based in Mexico City. We are looking for a Senior Data Scientist to join our team πŸΆπŸš€. You'll be responsible for designing, developing, and enhancing advanced Pricing and Revenue Growth Management (RGM) models, turning data on demand, pricing, product portfolios, sales channels, and consumer behavior into actionable insights that drive strategic business decisions. In this role, you'll combine Machine Learning, statistics, econometrics, and business expertise to build predictive models, analyze price-demand relationships, estimate price elasticities, and optimize pricing strategies. You'll work closely with business stakeholders, Data Engineers, and Machine Learning Engineers to develop scalable, statistically robust solutions that support commercial decision-making. Strong analytical thinking, business understanding, and the ability to translate complex data into actionable recommendations are essential to succeed in this collaborative environment. πŸš€ 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 - πŸ“Š We are Data Nerds - πŸ€— We are Open Team Players - πŸš€ We Take Ownership - 🌟 We Have a Positive Mindset πŸ” 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! πŸš€ ## Responsibilities πŸ€“ - Formalize mathematically the trade-off between service time / RTM cost and revenue per point of sale, building the optimization function that currently operates heuristically. - Model the cost and profitability layer (visit drivers, RTM Size thresholds, minimum margin) that feeds the segmentation and the assignment of service models. - Build and solve optimization models (linear/integer programming, constrained optimization) to determine the optimal service model for each customer. - Work on the Characterization pillars (Channel, Size, Potential, Territorial Profile, Digital Autonomy) and their multi-country expansion. - Interpret the P&L end-to-end and translate it into decision variables, costs, and objective functions. - Document assumptions and validate results with business and finance stakeholders. - Develop analyses, features, and models on Databricks, collaborating with Data Engineers and Analytics Engineers. - Promote best practices in modeling, reproducibility, and documentation across the team. Required Skills πŸš€ - Background and experience in Operations Research / Optimization (linear and integer programming, constrained optimization). - Financial context: ability to interpret a P&L and translate it into variables, costs, and objective functions. - Advanced Python, including optimization libraries (PuLP, Pyomo, OR-Tools, or similar). - Solid foundations in statistics and modeling. - Hands-on experience with Databricks. - Ability to translate business needs into analytical solutions and communicate complex findings clearly to technical and non-technical audiences. ## Nice to Have πŸ˜‰ - Experience with survival models / CLV and econometrics. - Experience in retail or consumer goods (CPG). - Experience developing agents / agentic infrastructure (e.g., Mosaic AI Agent Framework, agent orchestration, MCP). - Preferably Mexico City (Santa Fe / Cuajimalpa). Although the position is not strictly on-site, we give preference to candidates based in Mexico City; however, we are open to other locations. 🎁 Perks - Remote-first culture – work from anywhere! 🌍 - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ) - Referral bonuses – help us grow the team & get rewarded! - [Maslow](https://maslow.hr/): Monthly credits to spend in our benefits marketplace. - ✈️🏝️[Annual Mutters' Trip](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s) – an unforgettable getaway with the team! ## 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**: β€œWe 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**: β€œRemote 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 (β€œMutt 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 - [#12 Senior DataOps Engineer](https://feeny.ai/job/12-senior-dataops-engineer-muttdata-buenos-aires-jksva6bzvejs) β€” Buenos Aires, Argentina - [#11 Senior Data & AI Engineer](https://feeny.ai/job/11-senior-data-ai-engineer-muttdata-buenos-aires-2gsqwddsvd4s) β€” Buenos Aires, Argentina - [Machine Learning Engineer Databricks - Latam](https://feeny.ai/job/machine-learning-engineer-databricks-latam-muttdata-argentina-d30yy4zw1gcj) β€” Argentina - [#4 Data Engineer Semi Senior - Feature Engineering - Databricks](https://feeny.ai/job/4-data-engineer-semi-senior-feature-engineering-databricks-muttdata-remote-1z0bsxajh411) - [#8 Data Engineer Senior - Databricks - Latam](https://feeny.ai/job/8-data-engineer-senior-databricks-latam-muttdata-remote-pzdm8xntjtd2) - [#8 Data Engineer Senior - Databricks - Mexico](https://feeny.ai/job/8-data-engineer-senior-databricks-mexico-muttdata-mexico-nb45mw69855h) β€” Mexico - [#4 Data Engineer Semi Senior - Feature Engineering - Databricks](https://feeny.ai/job/4-data-engineer-semi-senior-feature-engineering-databricks-muttdata-mexico-ce0c93vtjm5x) β€” Mexico - [#5 - Senior Backend Engineer - Python & Databricks](https://feeny.ai/job/5-senior-backend-engineer-python-databricks-muttdata-ciudad-de-yt1hrget9rwg) β€” Ciudad de, Mexico - [#3 - Data Scientist Senior - Causal Inference - Databricks](https://feeny.ai/job/3-data-scientist-senior-causal-inference-databricks-muttdata-ciudad-de-zrwhm0kr1scc) β€” Ciudad de, Mexico - [#3 - Data Scientist Senior - Causal Inference - Databricks](https://feeny.ai/job/3-data-scientist-senior-causal-inference-databricks-muttdata-remote-zxmzmaejy4vh)