Tiger Analytics is looking for experienced Data Scientists to join our 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.

We are seeking a highly skilled Data Scientist to support the team in developing innovative solutions to build and evolve the next generation of our advertising measurement framework. The role requires hands-on experience with Python, Databricks, and Azure and the ability to lead end-to-end model development and deployment.

Key Responsibilities

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. 

Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase. 

We are small enough that you can make an impact within the company and large enough to make an impact in the market.

Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

Do you thrive on finding simple and elegant solutions to complex problems using data and technology? Are you curious about the intersection of indirect consumer lending, capital markets and fintechs, and excited to join a team that tackles big challenges head-on?

If this sounds like you and you are ready to take your strategic thinking, advanced analytics skills, and knack for digging into the details to the next level while leaving your mark on a rapidly growing organization, we want to talk to you!

Tiger Analytics is an advanced analytics consulting 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 AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a highly experienced Techno-Functional Consultant who will lead Pricing Operations while driving the technology direction and architecture strategy across Google Cloud, Data Science Modeling, Agentic AI, Software Engineering, and Solution Architecture.

This is a hybrid role requiring strong business acumen in pricing and commercial operations, combined with deep technical expertise to design scalable, AI-driven, cloud-native solutions that enable intelligent pricing, automation, and data-driven decision-making.

The ideal candidate bridges business and engineering teams, ensuring pricing strategy is operationally efficient, analytically robust, and technologically advanced.

RESPONSIBILITIES:

1. Pricing Operations Leadership

Tiger Analytics is an advanced analytics consulting 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 AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

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 also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with deep expertise in statistical analysis, statistical modeling, program evaluation. strong coding capabilities to add to our team.

Key Responsibilities:

We are a growth team responsible for basically the growth of the company. We are looking for a Performance Analyst who will own event tracking, attribution quality, and traffic efficiency across mobile and web products.

Responsibilities

• Implement and maintain event tracking for mobile apps and web platforms.
• Work with 3rd-party tracking platforms (Adjust, AppsFlyer)
• Postback setup and reconciliation
• Integrate and support SDKs (mobile & web) in close collaboration with engineering teams
• Work with Google Firebase: event configuration and validation funnel, retention, and behavioral analysis
• Work with Google ICM and Facebook AEM
• Design and maintain server-to-server (S2S) tracking: client vs server-side event logic
• Monitoring and resolving data discrepancies
• Analyze traffic quality and data efficiency:

- Identify low-quality or fraudulent traffic
- Analyze cohort behavior, retention, LTV, and conversion paths

• Apply anti-fraud techniques:

- Detect abnormal patterns (click spamming, SDK spoofing, bot traffic, attribution fraud)
- Collaborate with platforms and ad networks on fraud prevention
- Build and maintain whitelists and blacklists of traffic sources, placements, and publishers

Tiger Analytics is an advanced analytics consulting 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 AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Associate Director / Senior Manager of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

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

Tiger Analytics is looking for experienced Data Scientists to join our 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.

As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, and graph-based approaches (preferably with NetworkX) to solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

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: