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(1237) Data Scientist

Latin America - Remote

Explore the Nearsure experience! 

🌐 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 
 
We are seeking a skilled Data Scientist with a strong focus on the Google Stack to join our team. In this role, you will work on data science projects that involve data gathering, cleaning, transformation, and model building. You will leverage Google BigQuery, Python, and Google Colab to extract insights, build predictive models, and optimize data pipelines. 
 
How you'll contribute 
 
Extract, transform, and analyze large datasets using SQL (Google BigQuery) and Python. 
Develop and maintain data pipelines to ensure efficient data processing. 
Utilize Google Colab and Python libraries like Pandas and NumPy for data manipulation and analysis. 
Implement vector-based representations of data and apply cosine similarity for relatedness measures. 
Design and develop interactive dashboards using Google Looker for data visualization. 
Work with LLMs (Large Language Models) and APIs, including Gemini API, for data prediction and transformation. 
Conduct manual data labeling and validation, including web research. 
Ensure data quality and integrity by implementing validation techniques. 
Collaborate with cross-functional teams to define technical requirements, align architecture with business goals, and deliver high-quality solutions. 
 
This would make you the ideal candidate 
 
Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 
5+ Years of experience delivering data science projects end-to-end (problem framing, data preparation, modeling, evaluation, and communication). 
5+ Years of SQL experience with large datasets, including hands-on ELT and query optimization in Google BigQuery (partitioning, clustering, UDFs, and relational data modeling best practices).  
5+ Years of hands-on experience with Python for data analysis and model training, with a focus on using Google Colab. 
3+ Years of experience with data manipulation and analysis libraries such as Pandas and NumPy. 
2+ Years of experience building predictive models (classification, regression, time series) using Python ML libraries. 
2+ Years of experience applying embeddings/similarity search (e.g., cosine similarity) for relatedness/semantic tasks. 
2+ Years of experience working in the Google Cloud ecosystem (e.g., BigQuery; familiarity with Vertex AI is a plus). 
2+ Years of experience with Git and collaborative development practices (code reviews, basic testing). 
Experience collaborating on data pipelines and orchestration (Cloud Composer/Airflow, BigQuery scheduled queries; Dataflow a plus). 
Familiarity with designing data visualizations/dashboards (preferably Looker) to communicate results. 
Experience using LLMs and APIs (e.g., Gemini/Vertex AI) for text understanding, extraction, enrichment, and workflow automation. 
Ability to perform manual data labeling/validation and web research when needed. 
Entry-level knowledge of Salesforce required for this role. 
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!  

🧑💻 Apply now! 

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  • A0: Beginner.
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