Expert Data Analyst
Há 4 dias
Job Title: Data Science Expert As a key member of our team, you will be responsible for developing and implementing data-driven marketing strategies that drive business growth. You will work closely with cross-functional teams to build and scale buying group frameworks that enhance personalization, targeting, and campaign performance. Key Responsibilities: Design and implement customer segmentation models using clustering algorithms to identify actionable buying groups within customer data platforms. Work collaboratively with marketing, product, and engineering teams to build and scale buying group frameworks. Integrate advanced models and segmentation logic into customer data platforms. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. +5 years of experience working as a Data Scientist. +3 years of experience working with AI. +2 years of experience working with Machine Learning. +2 years of experience working with LLMs. +1 year of experience working with Agentic AI. Advanced English level is required for this role as you will work with US clients. Benefits: 100% remote work Competitive salary Paid time off National Holidays celebrated Sick leave Refundable Annual Credit Team-building activities Birthday day off About the Project: This proactive search aligns with the profiles our trusted clients seek regularly. We invite passionate professionals to join our dynamic team and make an impact through cutting-edge technology solutions. As a Data Science Expert, you will be central in shaping B2B data-driven marketing and personalization strategy, building robust models that inform customer engagement, lifecycle marketing, and product strategy. How your day-to-day work will look like: Design, implement, and optimize customer segmentation models, including clustering algorithms (e.g., k-means, DBSCAN, hierarchical clustering) to identify actionable buying groups within CDP data. Work cross-functionally with marketing, product, and engineering teams to build and scale buying group frameworks that enhance personalization, targeting, and campaign performance. Integrate advanced models and segmentation logic into Customer Data Platforms (CDPs) such as Segment, Adobe Experience Platform, Salesforce CDP, or similar. Apply advanced analytics and machine learning to solve complex problems related to customer behavior, churn prediction, lookalike modeling, and RFM analysis. Own the end-to-end lifecycle of data science projects from ideation through deployment and performance monitoring. This would make you the ideal candidate: A forward-thinking professional with a passion for leveraging data insights to drive business growth.
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