[Hiring] Senior Data Scientist @Muttdata

Role Description

We are looking for a Senior Data Scientist to join our team 🐶🚀. 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.

• Combine Machine Learning, statistics, econometrics, and business expertise to build predictive models.
• Analyze price-demand relationships and estimate price elasticities.
• Optimize pricing strategies.
• Work closely with business stakeholders, Data Engineers, and Machine Learning Engineers.
• Develop scalable, statistically robust solutions that support commercial decision-making.
• Translate complex data into actionable recommendations.

Responsibilities

• Design, develop, and optimize advanced Pricing and Revenue Growth Management (RGM) models.
• Build and validate price-demand elasticity models, including own-price and cross-price elasticities.
• Develop predictive models using Machine Learning, statistical methods, and econometric techniques.
• Perform time series analysis, demand forecasting, and mathematical optimization.
• Conduct feature engineering using pricing, sales volume, seasonality, product, channel, and market data.
• Design and execute experiments, backtesting, sensitivity analyses, and statistical validations.
• Evaluate model robustness, temporal stability, potential biases, and underlying statistical assumptions.
• Develop pricing scenarios and simulations to assess the impact of commercial strategies.
• Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers.
• Communicate complex analytical findings and actionable recommendations to stakeholders.

Qualifications

• 4+ years of experience as a Data Scientist, ideally in Pricing, Revenue Growth Management (RGM), demand modeling, forecasting, or optimization.
• Advanced proficiency in Python and SQL.
• Strong knowledge of applied statistics, econometrics, and supervised Machine Learning.
• Hands-on experience with price elasticity modeling and demand modeling.
• Solid understanding of own-price and cross-price elasticity.
• Experience with regression models, regularization techniques, and statistical inference.
• Strong background in time series analysis and forecasting.
• Experience with mathematical optimization, scenario modeling, and sensitivity analysis.
• Proficiency in feature engineering using pricing, volume, seasonality, and commercial variables.
• Experience designing experiments and conducting statistical validation.
• Hands-on experience with Databricks, Spark/PySpark, and MLflow.
• Experience developing and validating statistical and Machine Learning models.
• Ability to build models across multiple levels of granularity.
• Strong analytical and problem-solving skills.
• Excellent communication and data storytelling skills.
• Experience collaborating with cross-functional teams.

Nice to Have

• Experience working with Large Language Models (LLMs).
• Knowledge of AI agents and agentic systems.
• Familiarity with MLOps practices and tools.
• Experience deploying and maintaining Data Science and AI solutions in production environments.
• Knowledge of job orchestration, computing infrastructure, deployments, monitoring, and maintenance.
• Experience working with event data, user tracking, and application tagging.
• Ability to collaborate effectively with Product, Engineering, and Business teams.

Benefits

• Remote-first culture – work from anywhere! 🌍
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
• Birthday off + an extra vacation week (Mutt Week! 🏖️).
• Referral bonuses – help us grow the team & get rewarded!
• Monthly credits to spend in our benefits marketplace.
• Annual Mutters' Trip – an unforgettable getaway with the team!