Data Scientist

Summary

Join Nearsure's close-knit LATAM remote team and enjoy a supportive work environment with autonomy, open communication, and respect for diversity. Nearsure offers competitive USD salaries, 100% remote work, paid time off, national holidays, sick leave, a refundable annual credit, team-building activities, and a birthday day off. As a Data Scientist, you will play a key role in shaping B2B data-driven marketing and personalization strategies. This involves designing, implementing, and optimizing customer segmentation models, working cross-functionally with various teams, and integrating advanced models into CDPs. Nearsure is committed to solving complex business challenges through cutting-edge technology and values creativity and expertise.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• Deep expertise in clustering algorithms and customer segmentation techniques
• Proficiency in Python or R, and strong SQL skills
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and tools like dbt, Snowflake, Redshift, or BigQuery
• Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons

Responsibilities

• 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

Benefits

• Competitive USD salary
• 100% remote work
• Paid time off
• National Holidays celebrated
• Sick leave
• Refundable Annual Credit
• Team-building activities
• Birthday day off