Data Scientist

Data Scientist

About Remobi:

We are Remobi - We empower businesses to scale, innovate, and achieve their goals through high-quality technical solutions delivered by high performing, high quality, REMOTE nearshore technology teams.

Join our Remobi community to have access to meaningful, innovative freelance projects and play a key role in shaping how companies operate!

Position Overview:

Location: Fully Remote

Role Type: Freelance/B2B/Contract

Duration: End of September 2025 (Possibility of a 1-year extension)

Position Summary:

We’re hiring a results-driven Machine Learning Engineer to build and deploy high-performance ML models across NLP, computer vision, and predictive analytics. You’ll work with modern cloud and data tools (AWS SageMaker, Snowflake, Aurora) to deliver real-time solutions, collaborating with technical teams while operating with autonomy and precision. This role suits someone highly analytical, technically sharp, and fluent in English — with clear, no-frills communication.

Responsibilities:

• Design, build, and refine machine learning models for real-world applications.
• Analyse large datasets to extract patterns, trends, and actionable insights.
• Collaborate with engineers and analysts to deploy scalable ML solutions.
• Automate ML workflows using Snowflake and AWS SageMaker.
• Present findings through clear reporting and data visualizations.
• Stay current with evolving machine learning tools and techniques.

Qualifications:

• Strong knowledge of ML algorithms (regression, decision trees, neural networks, etc.).
• Hands-on experience with AWS SageMaker and Snowflake.
• Proficiency in Python, SQL, and associated ML/data libraries.
• Skilled in data visualization (preferably with Tableau).
• Fluent English communicator (clear, technical, and to the point).
• Background in real-time prediction systems, ideally using Aurora (Desirable)

If you are interested in this role or do have anybody in mind for this position, feel free to apply or get in touch