Description:

Nearsure is seeking a Senior Data Scientist to join their LATAM team, working remotely.
The company emphasizes a close-knit remote team environment with activities like coffee breaks, tech talks, and games.
Communication is prioritized, with a focus on autonomy and respect for diversity, avoiding micromanagement.
The People Care team is available from day one to support employees with various needs, including time off and benefits.
The Accounts Management team ensures effective client relationships and project management.
The role involves data gathering, cleaning, transformation, and model building using tools like Google BigQuery, Python, and Google Colab.
Responsibilities include extracting and analyzing large datasets, developing data pipelines, and creating interactive dashboards.

Requirements:

A Bachelor's Degree in Computer Science, Engineering, or a related field is required.
Candidates must have 3+ years of experience in data science projects, including data gathering, cleaning, and model building.
3+ years of experience in writing and optimizing queries for data extraction, transformation, and loading, specifically in Google BigQuery is necessary.
3+ years of experience working with Python for data analysis and model training, particularly using Google Colab is required.
Familiarity with data manipulation and analysis libraries such as Pandas and NumPy is essential.
Experience in generating vector representations of data and using cosine similarity for relatedness measures is needed.
Proficiency in SQL and experience with relational databases, focusing on Google BigQuery is required.
Candidates should have experience in developing and maintaining data pipelines.
Familiarity with designing and developing dashboards using data visualization tools, preferably Google Looker, is necessary.
Experience with LLMs and APIs, especially the Gemini API for data prediction and transformation tasks is required.
Strong attention to detail and commitment to data quality is essential.
Ability to perform manual data labeling and validation tasks, including web research is needed.
An advanced level of English is required for effective communication with US clients.

The position offers a competitive USD salary compensation.
Employees can work 100% remotely, with the option to visit coworking spaces across LATAM to expand their professional network.
Paid time off is provided according to the country’s law, ensuring employees can rest and recharge without salary impact.
National holidays are recognized, allowing employees to celebrate important events with loved ones.
Sick or medical leave is available to support employee health and well-being.
A refundable annual credit is provided for employees to spend on their preferred perks.
Team-building activities such as coffee breaks, tech talks, and after-work gatherings foster community among colleagues.
Employees receive a day off during their birthday week to celebrate with family and friends.