Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.
Say goodbye to micromanagement We champion autonomy, open communication, and respect for diversity as our core values.
Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.
Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.
Ready to grow with us?
Here's what we offer you by joining us
Competitive USD salary – We value your skills and contributions
100% remote work – While you can work from anywhere, you're always welcome to connect with teammates and grow your network at our coworking spaces across LATAM
Paid time off – Take the time you need according to your country's regulations, all while receiving your full salary. Rest, recharge, and come back stronger
National Holidays celebrated – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.
Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.
Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance
Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community.
Birthday day off – Enjoy an extra day off during your birthday week to celebrate in style with friends and family
About the project:
As a Senior Data Scientist, you will play a pivotal role in ensuring the accuracy, reliability, and accessibility of our data, enabling the organization to derive meaningful insights and make informed decisions.
How you'll contribute
Design, implement, and optimize customer segmentation models, including clustering algorithms.
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
Bachelor's Degree in Computer Science, Engineering, or a related field.
5+ Years of experience working in data science.
2+ Years of experience working in a senior or lead role.
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.
What to expect from our hiring process
1. Let's chat about your experience
2. Impress our recruiters, and you'll move on to a technical interview with our top developers.
3. Nail that, and you'll meet our client - your final step to joining our amazing team
At Nearsure, we're dedicated to solving complex business challenges through cutting‑edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team
We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.
Let's work together to shape the future of technology
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Seniority level
* Seniority levelMid‑Senior level
Employment type
* Employment typeFull‑time
Job function
* Job functionInformation Technology
* IndustriesSoftware Development
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