About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Scientist, Product Data Science in Canada.

This role offers the opportunity to work at the intersection of data, product, and strategy, helping guide high-impact decisions for one of Canada’s most prominent fintech platforms. As a Data Scientist on the Product Data Science team, you will design experiments, build predictive models, and create scalable data solutions that support growth and product innovation. You’ll collaborate closely with Product, Engineering, and Marketing teams to deliver insights and shape product development. If you’re passionate about using data to solve real-world problems and want to be part of a purpose-driven mission, this role is for you.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an AI Engineer in India.

As an AI Engineer, you’ll play a critical role in designing, building, and optimizing machine learning models that solve complex problems and improve operational performance. This role involves working with large datasets, performing data analysis, and developing AI-driven solutions that directly impact decision-making and customer experience. You'll collaborate with cross-functional teams to understand business objectives, identify opportunities for automation, and contribute to the strategic growth of the company through innovative AI implementations.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an Optimization Scientist in the United States.

We are seeking a highly analytical Optimization Scientist to drive innovation at the intersection of artificial intelligence, national defense, and commercial operations. This role focuses on developing advanced mathematical models and applying cutting-edge optimization techniques to solve complex, real-world problems. You will collaborate closely with engineers, analysts, and domain experts, playing a hands-on role in building solutions that directly impact strategic outcomes. This is a fast-paced, flat team environment ideal for someone who thrives on autonomy, intellectual challenge, and purpose-driven work.

Accountabilities:

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• ML Engineer with 5-7 years of IT experience.
• Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
• Develop Airflow DAGs to run training and scoring pipelines
• Develop a Testing framework with Pytest
• Implement monitoring solution with homebrew solution using Lambda and Dash
• Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements