Senior Data Scientist – Customer Segmentation, Classification

Job not on LinkedIn

🔥 6 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• 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

🎯 Requirements

• Background and experience in Operations Research / Optimization (linear and integer programming, constrained optimization) • 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

🏖️ Benefits

• 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 • Birthday off + an extra vacation week (Mutt Week!) • Referral bonuses • Annual Mutters' Trip • Monthly Childcare Reimbursement

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume