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.

As a Senior/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience 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

Senior Frontend Engineer - High-Performance Financial Platform

Location: New York City (Office)

Compensation: $185K - $250K

Join the Product & Platform team at a high-growth crypto derivatives exchange that is rapidly capturing market share in a multi-billion dollar annual sector. We are focused on building cutting-edge blockchain-backed financial products, starting with a multi-asset margin feature that will allow users to post variable forms of collateral. This feature is vital, as multi-asset margin comprises over 86% of accounts in the crypto industry.

You will play a key role in building and maintaining the applications that power our services. You will collaborate closely with designers, backend engineers, and product managers to deliver responsive, accessible, and high-performance user interfaces that bring complex financial tools directly to our users.

The Senior Frontend Engineer will be responsible for the full lifecycle of application development, focusing on performance, user experience, and real-time data visualization.

Senior Data Scientist – DeFi Economic Risk & Security

Location: Remote - Preference is in Europe to overlap 5hours with EST timezone

Compensation: $130K - $150K

Join a pioneering company that provides the first automated, on-chain economic security system for crypto protocols. Our platform is trusted by leading DeFi protocols, collectively securing and managing billions of dollars in assets, by utilizing world-class custom EVM simulations to optimize risk management and capital efficiency. This is a high-impact role at the intersection of quantitative finance, data science, and decentralized technology.

As a Senior Data Scientist, reporting directly to the Head of Economic Risk & Strategy, you will be a critical driver of our modeling capabilities and data insights across the decentralized finance ecosystem. You will lead innovative research to understand market actor behavior and model these dynamics within our advanced simulation platform.

Your Mission & Responsibilities:

We are looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to the development of analytical models and automation.

Responsibilities

• Analyze marketing and product data to identify trends, patterns, and opportunities for optimization.
• Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI).
• Participate in building analytical and forecasting models based on product, financial, and behavioral data.
• Prepare technical documentation and maintain data dictionaries for the analytics function.
• Support automation of analytical processes, reporting pipelines, and recurring workflows.
• Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment.
• Present insights to stakeholders in a structured, clear, and actionable format.

Requirements

Junior Data Analyst (Product Focus)

Location: London, New York City (Office)

Compensation: $175K - $225K + Tokens/Equity

We are seeking a motivated Junior Data Analyst who is eager to learn, grow, and make a significant impact in a fast-paced environment at the intersection of consumer technology and next-generation finance. In this role, you will play a crucial part in supporting data initiatives across our product, helping various teams make informed decisions through clear analysis, reporting, and insight generation.

You will work closely with senior data staff while gradually taking on more ownership as you develop your skills in a supportive, high-autonomy environment.

As a Junior Data Analyst, you will support critical data initiatives, translating raw data into actionable insights that directly influence product strategy and user experience. You will be instrumental in tracking key performance indicators (KPIs) and uncovering opportunities for growth and optimization.

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.

We are seeking a Data Analyst to support a program by providing data-driven insights, analytics, and reporting to inform mission-critical decisions. The ideal candidate will have experience working with large, complex datasets, strong analytical skills, and familiarity with government data standards and compliance requirements.

Responsibilities:

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Develop and maintain dashboards, reports, and data visualizations to support program objectives.
• Identify data trends, patterns, and anomalies to support operational and policy decisions.
• Collaborate with government stakeholders, program managers, and technical teams to define data requirements and reporting needs.
• Ensure data accuracy, integrity, and compliance with federal data security and privacy regulations.
• Prepare and present findings, reports, and visualizations to both technical and non-technical audiences.
• Support automation of data processing and reporting workflows.
• Contribute to continuous process improvement and performance metrics development.

Requirements

Senior Data Scientist - Economic Risk & DeFi Simulation

Location: Remote - Preference for NYC - Will accept Remote USA & Europe to work EST hours

Compensation: $130K - $150K

We are the first automated, on-chain economic security system, trusted by leading protocols managing billions of dollars (including Aave, GMX, dYdX, and others). We provide actionable insights by analyzing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Senior Data Scientist to advance our modeling capabilities and deliver powerful data insights across decentralized finance.

Reporting to the Head of Economic Risk & Strategy, you will play a critical role in strategic research, simulation, and risk analysis for market-leading protocols. This involves deep diving into complex crypto systems, modeling actor behavior, and translating intricate simulation results into intuitive, game-changing analytics for our institutional customers.

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