About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Zyte is seeking an experienced Team Lead to manage our Core & MLOps Squad, responsible for "Building the bedrock infrastructure that powers Zyte at scale." This hands-on technical leadership role requires expertise across MLOps, systems programming, and orchestration to lead a cross-functional team in designing and maintaining the scalable foundation that enables all Zyte teams to build and run their services with confidence.

Requirements

Quantitative Software Engineer - DeFi Economic Optimization

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, securing over $42 billion in customer TVL. We are seeking highly skilled and motivated Quantitative Software Engineers to drive the safe progression of future financial systems.

You will be at the intersection of quantitative finance and software engineering, driving the design and implementation of risk management and optimization strategies for major DeFi protocols. This role involves full ownership, from building robust data pipelines and core modeling platforms to deploying logic that enhances capital efficiency and risk-adjusted yields.

Key Responsibilities:

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking to hire a Data Architecture Lead to design, develop, and govern the organization’s end-to-end data ecosystem. This role will define the vision, strategy, and roadmap for how data is collected, integrated, stored, and accessed to enable digital transformation, AI/ML, and advanced analytics initiatives.

Requirements

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools.

Key Responsibilities

Tiger Analytics is looking for an experienced Principal Data Scientist 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:

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:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
• Creating Scalable Machine Learning systems that are highly performant
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

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 Senior Software Engineer in US / Canada.

We are looking for a Senior Software Engineer to help build scalable, data-intensive applications that power mission-critical systems. In this role, you will work on designing ETL pipelines, building high-performance APIs, and transforming large volumes of raw data into impactful products. You’ll collaborate with cross-functional teams including data science, product, and engineering, and contribute to backend infrastructure and data platform initiatives. This role is ideal for engineers with strong backend and data engineering experience, a passion for performance and scalability, and a hands-on approach to building systems from the ground up.

Accountabilities:

·         Design and implement ETL pipelines capable of processing large-scale datasets efficiently.

·         Build and maintain robust APIs for data retrieval, including support for complex query types.

·         Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.

·         Transform raw data into structured, high-value data products to support business and operational decisions.

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 in United States.

This is a high-impact role on the Demand Analytics team, where you'll support marketing strategy through rigorous data analysis and machine learning. You will develop and maintain models that evaluate marketing performance and inform optimization decisions across channels. Collaborating closely with marketing and analytics stakeholders, you’ll shape strategies through experimentation, causal inference, and deep exploratory analysis. The ideal candidate brings a balance of technical expertise, curiosity, and strong communication to bridge data insights with actionable business decisions.

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 a Senior Data Engineer in LATAM.

We are seeking a highly experienced Senior Data Engineer who thrives in a collaborative, high-performance environment and is passionate about building robust, scalable data systems. You will work at the core of the engineering team, designing and maintaining complex backend systems and data pipelines that power mission-critical applications. This is a hands-on position involving everything from architecture to deployment and performance tuning. If you enjoy working with big data technologies, functional programming, and solving technical challenges across cloud environments, this is your opportunity to drive impact in a fast-paced, product-oriented team.

Accountabilities:

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning 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.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements

Key Responsibilities:

Data Integration:

Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools.

Support Data Modeling:

Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements.