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 Senior Data Scientist / Data Scientist with strong experience in Assortment Planning, Retail Analytics, and Inventory Management. The ideal candidate will drive data-driven decision-making across merchandising, supply chain, and planning teams by building predictive models and optimization solutions that improve product assortment, demand forecasting, and inventory efficiency.

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.

We are seeking a Senior / Lead Data Scientist with strong expertise in forecasting, tree-based models, and large-scale data processing. The role requires hands-on experience with PySpark, Databricks, and Azure and the ability to lead end-to-end model development and deployment. Experience with MLOps / DevOps is a strong plus.

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.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in forecasting models, including ARIMA, time series modeling, and PMPM forecasting, preferably within the healthcare domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

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 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:

Senior Data Engineer (Monitoring & Parameter Systems)

Location: Porto, Portugal (Full-Time)

Category: Engineering / Data Science

Compensation: $140K - $300K

We are on a simple mission: to make it possible for anyone with a digital wallet to trade stocks, commodities, currencies, and crypto with full transparency. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built entirely on-chain. Every trade, deposit, and withdrawal on our platform is verifiable through open, auditable code.

To date, we have raised $27.9M+ from top-tier investors including General Catalyst, Jump, Susquehanna (SIG), Alliance DAO, and Balaji Srinivasan.

We are seeking a Data Engineer (Monitoring & Parameter Systems) to architect and operate the analytics, observability, and parameter-proposal infrastructure that keeps our protocol safe and economically sound. You will serve as the critical bridge between protocol mechanics—such as fees, spreads, and liquidations—and production-grade data systems. Your mandate is to translate complex economic models into reliable pipelines and monitoring services that ensure the protocol remains healthy across all markets.

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.

We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries.

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.

We are seeking a Senior / Lead Data Scientist with strong expertise in forecasting, tree-based models, and large-scale data processing. The role requires hands-on experience with PySpark, Databricks, and Azure and the ability to lead end-to-end model development and deployment. Experience with MLOps / DevOps is a strong plus.

Key Responsibilities

Infrastructure & Platform Engineer Job Posting

Location: New York, San Francisco (Office)

Compensation: $185K - $400K

Our client is a rapidly growing technology company operating at the forefront of the high-stakes crypto derivatives sector, a market with annualized revenues in the tens of billions. Their platform is one of the fastest-growing crypto derivatives exchanges, capturing a significant and expanding share of the global market. They are building the next essential feature in this space: Multi-Asset Margin, which will allow users to post various forms of collateral directly on-chain, eliminating the need to liquidate assets into USDC before trading. Their infrastructure is designed to bring multiple trading venues and expanded financial utility directly to the user.

You will join their Infrastructure & Platform team to design, deploy, and operate the core components of their scalable, high-performance systems. You will focus on compute, storage, and networking while working closely with the product team to deliver exceptional speed and reliability in demanding, real-time environments.

What You'll Do:

The VHA Survey of Veteran Enrollees’ Health and Utilization of Health Care (Survey of Enrollees) began in 1999 as a key input for the Enrollee Health Care Projection Model. It is an annual survey that gathers information from enrolled Veterans regarding their perceived health status, experiences with health services, current and anticipated future health care usage, insurance coverage, access to telehealth, and demographic characteristics. Participation remains voluntary. The data collected has supported projections of future health care utilization and informed VHA leadership in planning for the evolved needs of the Veteran population. This information is being collected in accordance with section 3507 of the Paperwork Reduction Act of 1995. We are seeking a Subject Matter Expert in Statistics to help with this potential upcoming project.

Machine Learning Engineer, AI Decisioning (Full-time)

Location: Remote (North America) / San Francisco (Optional)

Salary Range: $200,000 - $260,000 USD

We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages.

A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step-function impact for our customers. Given our access to first-party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source.

Your responsibilities will include working on complex problems such as: