(910) Senior Data Scientist

What is it like to work at Nearsure?

A remote team never felt so close 🌐 Join our LATAM team and stay connected while working remotely. We value our team members and candidates interested in our vacancies. Enjoy fun activities like coffee breaks, tech talks, and games with our developers and management teams during your stay with us.
Who needs micromanagement? 🍃For us, communication is key, so we focus on working autonomously, with honesty, and respecting diversity. Micromanagement is not part of our corporate values.
Worklife Balance ⚖️Your well-being is our priority with our People Care team, available from day one to offer support and help with anything from needing someone to talk to, requesting time off or a holiday, or using any of our offered benefits.

Additionally, our Accounts Management team ensures a smooth and effective stay with our clients, fostering a harmonious relationship with both the client and the project.

Here you’ll get:

• USD 💲 Salary compensation.

• 100% remote work 🏢 but if you feel like connecting with people you can visit coworking spaces all over LATAM allowing you to expand your professional network.

• Paid time off according to your country’s law without affecting your monthly salary to ensure that you have plenty of time to rest and recharge.

• Your country’s national holidays 🌴 allow you to celebrate important events and traditions with your loved ones.

• Sick or medical leave 😷 when needed so that you can take a day off to take care of your health, and have wellbeing without worrying about work.

• Refundable annual credit 💸 for you to spend on your favorite perks.

• Teambuilding activities 🤜🤛 such as coffee breaks, tech talks, and after-work gatherings with your Nearsure colleagues, to feel close to our community.

• A day off during your birthday week 🥳🎂 to enjoy with your family and friends, ensuring that you have a chance to make memories on your special day.

About the project:

As a Data Scientist, you will work on 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. The ideal candidate is highly analytical, detail-oriented, and passionate about working with data to drive business impact.

You will be able to:

• 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.

What will help you succeed in this role:

• Bachelor's Degree in Computer Science, Engineering, or a related field.

• 3+ Years of experience working in data science projects, encompassing data gathering, cleaning, and model building.

• 3+ Years of experience writing and optimizing queries for data extraction, transformation, and loading, specifically in Google BigQuery.

• 3+ Years of experience working with Python for data analysis and model training, with a focus on using Google Colab.

• Familiarity with data manipulation and analysis libraries such as Pandas and NumPy.

• Experience in generating vector representations of data and using cosine similarity for relatedness measures.

• Proficiency in SQL and experience with relational databases, with a focus on Google BigQuery.

• Experience in developing and maintaining data pipelines.

• Familiarity with designing and developing dashboards using data visualization tools, preferably Google Looker.

• Experience with LLMs and APIs, especially the Gemini API for data prediction and transformation tasks.

• Strong attention to detail and commitment to data quality.

• Ability to perform manual data labeling and validation tasks, including web research.

• 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.

Here's what you can expect from our hiring process:

• We'd love to discuss your experience in an interview with our recruiters.

• If all goes well, we'll arrange a technical interview with our top developers to evaluate your skills.

• If you advance to the next stage, you'll have a chance to meet our client and potentially become a part of our amazing team!

Would you like to work alongside top Latin American talent?

Work remotely from Latin America for US clients with Nearsure, a staff augmentation company that values people and culture. Gain cross-cultural expertise and improve your English skills with daily communication in English.

We're excited to have you on board and can't wait to learn more about you.

🚀Apply now!🚀