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 several 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 analytics global 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

Senior Backend Engineer

Location: US or Europe (Must have solid overlap with EST)

Remote | Full-time

Compensation: $150K - $200K

Our client is an industry-leading DeFi organization building the next generation of trading infrastructure. Operating as the largest builder-code product on a major decentralized exchange protocol, the company has processed over $65B in cumulative trading volume and generated eight-figure revenue over the past year. With a user base exceeding 400,000 registered traders, the platform is at the forefront of democratizing access to global financial markets across crypto, equities, and commodities.

The organization operates as a lean, highly technical team of individual contributors who prioritize autonomy, ownership, and rapid execution. This environment is designed for a Senior Backend Engineer who thrives in 0-to-1 environments and is capable of building ambitious systems from the ground up. This role is central to scaling trading interfaces that manage billions of dollars in daily volume while maintaining high-speed, intuitive user experiences.

Key Responsibilities

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are seeking a Data Architect – Patient Services to join our Life Sciences practice. In this role, you will be responsible for ensuring the integrity and reliability of Patient Services (PS) data and be the primary bridge between external Patient Services Hub vendors and internal enterprise systems. This is a high-impact role combining technical data modeling with operational stewardship, requiring you to drive data quality, investigate complex lineage issues, and ensure that patient data is "analytics-ready" for strategic decision-making.

Responsibilities:

Blockchain Indexing Specialist

Location: Can do at least 4 hours overlap between 10am-6pm Brazilian time - Cannot hire in Germany or France

Remote | Full-time

Compensation: Competitive

Our client operates a premier real-time blockchain analytics platform utilized by over 5 million crypto traders every month. As a lean, high-performance team of ten, the organization remains at the absolute core of the rapidly expanding decentralized finance (DeFi) industry.

The organization is seeking a Blockchain Engineer to join the core engineering team. This individual will manage and evolve the indexing layer as the platform scales across hundreds of chains and billions of transactions. The mission is to architect and maintain high-performance indexers that ensure the platform remains the fastest and most reliable data provider in the ecosystem. This role is designed for a specialist who thrives in high-throughput environments and possesses a deep technical understanding of blockchain data structures.

Key Responsibilities

Software Engineer (Java Generalist)

Location: US - Open to Europe if happy to overlap with EST

Compensation: $160K - $200K

Our firm has been retained by a high-growth, mission-driven technology company to find a world-class Principal Java Systems Engineer. This is not a role for "glue" engineers who connect off-the-shelf components; this is for the engineer who sees performance ceilings as a personal challenge and prefers squeezing 30% more throughput out of clean Java over renting 30% more cloud compute.

Our client is building a high-performance, publicly visible immutable ledger. In an industry where people "move fast and break things," this team operates like NASA: moving fast while ensuring correctness, performance, and efficiency are 100% right the first time. You will join an elite team where you aren't a cog in the machine—you are the architect building it.

Key Responsibilities:

About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, a diversified shipping services group with offices in London and Athens. Our main product, The Signal Ocean Platform, allows ship charterers, brokers and owners to securely process, combine and analyse complex arrays of private and public shipping data. Powered by sophisticated machine learning / artificial intelligence technologies, the platform delivers customized, exclusive insights that help our clients achieve performance and efficiency.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We’re looking for a Software Engineer capable of building and maintaining scalable back-end data services (primarily in Python) within the Modelling & Data Services team. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Who we are 

At DOF what we do is as important as the way we do business – our operations are safe, legal and ethical, everywhere we do business. The DOF team treat each other and our surroundings with RESPECT, INTEGRITY and strive for EXCELLENCE in all we do. All our employees are expected to have a drive for results and solve problems, but not without showing integrity and focusing on communication along the way. 

With a multi-national workforce of over 5000 personnel, DOF is an international group of companies which owns and operates a fleet of modern offshore/subsea vessels, with an engineering, survey and ROV capacity to service both the offshore and subsea market. With more than 40 years in the offshore business, the DOF group has a strong position in terms of experience, innovation, product range, technology, and capacity. 

DOFs core activities are vessel ownership, vessel management, project management, engineering, vessel operations, survey, remote intervention, and diving operations. DOF offers a full spectrum of top-quality offshore services to facilitate an ever-growing and demanding energy industry. 

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 seeking an experienced Lead Data Engineer with expertise in AWS & Snowflake to join our data team. As a Lead Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Cloud Snowflake DBT. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Senior Full-Stack Software Engineer (On-site)

Compensation: $150K - $200K

We are hiring a Senior Full-Stack Software Engineer to join a fast-paced, high-growth AI company dedicated to building the next generation of autonomous digital workers. This is an on-site, full-time position in San Francisco, CA.

As a Senior Full-Stack Software Engineer, you will play a crucial role in shaping the future of AI and digital workers. Your primary focus will be on driving velocity and end-to-end ownership of products and problems within the engineering team.

Key Responsibilities:

• Architect and build new, complex workflows within our core products.
• Maintain and optimize existing feature-rich workflows to ensure high performance and reliability.
• Act as a critical bridge between Applied Research, Go-To-Market (GTM), Product, and Engineering teams.
• Identify, propose, and implement significant architectural improvements and scalability solutions.
• Drive and enforce technical decisions and best practices across the engineering team.
• Actively contribute to product engineering across the full stack.

Requirements

Machine Learning Scientist (SocialFi/Decentralized Platform)

Location: New York City, London (Office)

Compensation: $250K - $300K

We are a high-growth software development company comprised of elite builders, moving fast to redefine what is possible in the social and decentralized technology space. We are proud contributors to one of the largest global social networks in the crypto space. We are committed to leveraging cutting-edge technology to build the future of decentralized applications.

We are seeking an experienced Machine Learning Scientist to be instrumental in applying AI and ML techniques to shape the future of our platforms and beyond.

As a Machine Learning Scientist, you will work alongside world-class engineers and product teams to drive the development of sophisticated algorithms. These models will power key platform features such as personalization, recommendations, search, and real-time decision-making, significantly enhancing the user experience.

Key Responsibilities