AI Data Scientist OC-17B

Technologies: Python, SQL, ETL Tools

Locations available: All LatAm

Oceans Code Experts is looking for talented individuals that are ready for the next step in their career, we offer a collaborative professional environment as full of rewarding experiences as it is of challenges.

An AI Data Scientist at Oceans can expect to work on multiple projects, work with a cross-functional team, and are transparent about time and tasks to help clients understand the progress of their projects.

Candidates must LOVE helping people, solving business problems, and pushing themselves to slay the next beast of a project.

Job Summary
Join our team as an AI Data Scientist and lead the development of intelligent solutions powered by data. You'll work with large datasets, cutting-edge ML frameworks, and scalable pipelines to solve real-world problems and deploy models that make an impact.

Job Responsibilities

• Design, train, and deploy machine learning models using frameworks such as TensorFlow and PyTorch.
• Develop robust data pipelines and perform advanced data wrangling using Airbyte, DBT, and Airflow.
• Conduct exploratory data analysis, statistical modeling, and feature engineering with tools like Python, Pandas, NumPy, and Scikit-learn.
• Write efficient SQL queries to extract and manipulate large-scale datasets.
• Collaborate using Git and shared notebooks for reproducibility and transparency across teams.
• Maintain a high standard of punctuality and professionalism, especially in a flexible, remote work environment.

Job Requirements

• Great English proficiency (B2+ Written and spoken)
• 8+ years of experience as an AI Data Scientis
• Impeccable punctuality (schedules are flexible but being in time for meetings is crucial
• Strong proficiency in Python, SQL, and data science libraries (Pandas, NumPy, Scikit-learn).
• Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch.
• Solid understanding of data wrangling and ETL practices using tools like Airbyte, DBT, and Airflow.
• Experience with collaborative coding and version control using Git and shared notebook environments.

Nice to have

• Familiarity with cloud data platforms like Databricks, BigQuery, Redshift, or Snowflake.
• Experience with HuggingFace Datasets, Power BI, or Streamlit for model serving and visualization.
• Background in NLP tasks, including preprocessing, embeddings, and bias analysis.

Position Type and Expected Hours of Work
This is a full-time consultancy, with up to 40 weekly hours during regular business times. We operate under a flexible core hours policy to accommodate various schedules, allowing consultants to perform during their peak productivity times. Additionally, we offer the flexibility to work remotely.