Niuro connects projects with elite tech teams, specializing in collaboration with leading U.S. companies. The position is part of Niuro's international team focused on delivering impactful, data-driven solutions. These projects leverage advanced industrial data science techniques such as predictive maintenance, causal modeling, time series analysis, forecasting, classification, regression, and recommender systems. Niuro empowers tech teams with continuous growth opportunities and handles all administrative tasks, enabling team members to focus on cutting-edge innovation within global client projects.

This job offer is available on Get on Board.

Responsibilities

As a Senior Data Scientist at Niuro, you will be a key contributor to diverse data science projects across various industries. Your main responsibilities include designing and implementing models for predictive maintenance, causal inference, time series forecasting, classification and regression tasks, and recommender systems. You will collaborate with cross-functional teams to develop robust solutions that generate actionable insights for global clients.

You will also be expected to apply your deep knowledge of mathematical engineering and AI to solve complex problems, mentor junior data scientists, and ensure best practices in data preparation, modeling, and deployment, primarily using technologies like Google Cloud Platform (GCP) and BigQuery.

This role requires strong communication skills to translate technical findings into business value and participate in strategic decision-making.

Requirements

We are seeking candidates with a degree in Mathematical Engineering or related fields in Artificial Intelligence. You should have extensive experience working on a variety of data science projects, including but not limited to predictive maintenance, causal modeling, time series analysis, forecasting, classification and regression, causality analysis, and recommender systems.

Proficiency in Google Cloud Platform (GCP) and BigQuery is essential for this role. Experience with cloud-based data infrastructure and scalable data processing pipelines is required.

We value candidates with a strong analytical mindset, problem-solving skills, and a collaborative approach. Ability to work fully remotely with global teams while maintaining high engagement and communication standards is important.

Bonus experience includes working in sectors such as mining, mechanical systems, or finance, where domain-specific knowledge can enhance project impact.

Preferred Qualifications

Experience with additional cloud platforms, advanced causal inference frameworks, and big data technologies is highly desirable. Familiarity with containerization and orchestration tools like Docker and Kubernetes can be a plus.

Prior work in industrial or mechanical sectors, especially mining and finance, is beneficial to understand domain-specific challenges and tailor data solutions accordingly.

Strong leadership skills and experience mentoring junior data scientists will be considered valuable.

What We Offer

We offer the opportunity to engage in technically rigorous, impactful industrial data projects fostering professional growth and innovation. Our environment promotes technical excellence and continual learning.

Niuro supports a 100% remote work model, allowing you to work flexibly from anywhere around the globe.

Continuous career development is encouraged through training programs and leadership growth opportunities.

Following successful initial collaboration, there is the possibility of transitioning into a stable, long-term full-time position.

Joining Niuro means becoming part of a global tech community backed by strong administrative support that allows you to focus on delivering exceptional results.

GETONBRD Job ID: 53932

Fully remote You can work from anywhere in the world.

Informal dress code No dress code is enforced.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.