#7 - Senior Data Scientist & AI - Databricks
вчера
МексикаSeniorRemote
machine learningartificial intelligencedata analysispythonrecommendation systemscustomer segmentationchurn prediction
Join as a Senior Data Scientist to develop AI and Machine Learning solutions for enhancing digital customer journeys in a multinational beverage company's B2B platform.
О компании
- 🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At , 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 Data Scientist to join our team 🐶🚀. You'll be part of a multidisciplinary team focused on building the "Perfect Order" , developing Machine Learning and Artificial Intelligence solutions that enhance the digital customer journey within a large-scale B2B application used by hundreds of thousands of customers across 9 countries. In this role, you'll work on innovative AI-driven products, including recommendation and personalization systems, customer segmentation, digital behavior analysis, notification optimization, and churn prediction models . You'll collaborate closely with Product, Engineering, and Business teams to design scalable, data-driven solutions that improve customer engagement, optimize user experiences, and generate measurable business impact.
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
Обязанности
- Design, develop, and implement Machine Learning and AI solutions to enhance the digital customer experience.
- Build and optimize recommendation and personalization models to deliver relevant products, content, and actions to users.
- Develop customer segmentation and behavioral analysis models to better understand user preferences and interactions.
- Design predictive models for customer churn detection and prevention.
- Work on notification orchestration and prioritization models to optimize customer engagement throughout the digital journey.
- Perform Exploratory Data Analysis (EDA), statistical analysis, and feature engineering to identify patterns and opportunities.
- Develop scalable Machine Learning solutions capable of processing large volumes of data across multiple markets.
- Collaborate with cross-functional teams to translate business challenges into Machine Learning and AI solutions.
- Evaluate model performance, validate results, and continuously improve predictive accuracy and business impact.
- Communicate insights, model outcomes, and actionable recommendations to technical and non-technical stakeholders.
Будет плюсом
- Experience working with Large Language Models (LLMs).
- Knowledge of AI agents and agentic systems.
- Familiarity with MLOps practices and tools.
- Experience deploying and maintaining Machine Learning and AI models in production environments.
- Knowledge of job orchestration, compute resources, model deployment, monitoring, and maintenance.
- Experience working with event data, user tracking, and application tagging.
- Experience collaborating closely with Product, Engineering, and Business teams to develop data-driven products.
Условия
- 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!
- Maslow : Monthly credits to spend in our benefits marketplace.
- ✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
Другое
- 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.
- Amazon Web Services
- Astronomer
- Databricks
- Hands-on experience developing and implementing Machine Learning and Artificial Intelligence solutions.
- Strong proficiency in Python and SQL.
- Solid knowledge of statistics, Exploratory Data Analysis (EDA), and feature engineering.
- Strong understanding of Machine Learning algorithms, predictive modeling, and statistical techniques.
- Experience working with recommendation systems, personalization, customer segmentation, digital behavior analysis, churn prediction, or similar use cases.
- Experience developing scalable Machine Learning and AI solutions.
- Familiarity with Databricks and Apache Spark.
- Ability to analyze complex datasets and translate findings into actionable business insights.
- Strong analytical thinking, problem-solving, and communication skills.
- Ability to collaborate effectively with multidisciplinary teams and communicate technical results to business stakeholders.