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 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 someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

Engineering Manager (Incubations)

Location: New York (Office)

Comepensation: Competitive

We are an industry-leading R&D lab building high-performance, open-source technology for the first parallelized EVM Layer 1 blockchain. Our mission is to scale decentralized infrastructure to handle Web2-level volume, onboarding the next billion users into a vibrant ecosystem of digital assets.

As the Engineering Manager for Incubations, you will lead a specialized team at the forefront of blockchain innovation. You won't just be managing; you will be collaborating directly with ecosystem partners to develop cutting-edge dApps across diverse domains—including Decentralized Finance (DeFi), Gaming, DePin, and AI. This is a "zero-to-one" leadership role designed for someone who thrives in fast-paced, community-first environments and wants to push the absolute boundaries of decentralized technology.

What you’ll do:

Talent Acquisition Specialist (Sourcing)

Location: New York (Hybrid)

Compensation: Competitive

We are a core contributor to a high-performance Layer 1 blockchain, the first to offer parallelized EVM execution designed to scale with the demands of the modern industry. Our team is composed of veterans from Google, Goldman Sachs, Robinhood, Nvidia, and Databricks, all dedicated to onboarding the next billion users onto a vibrant ecosystem of decentralized applications.

Backed by over $30M from top-tier investors—including Jump Crypto, Multicoin Capital, and Coinbase Ventures—we are looking for our first Talent Acquisition Specialist to help us build the most talent-dense engineering team in Web3.

Reporting directly to the Head of Talent, this is a high-impact, high-autonomy role designed for an ambitious recruiter who wants to shape the hiring strategy of a scaling startup. This is not a passive role; you will be on the front lines, engaging the pinnacle of engineering talent for highly technical roles that are critical to our success.

Key Responsibilities:

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 has been recognized by various market research firms, including Forrester and Gartner.

Tiger Analytics is looking for an experienced Technical Project Manager to lead and deliver complex data-focused GEN AI initiatives. The ideal candidate will have extensive experience managing enterprise-level data projects, collaborating across all levels of the organisation, and ensuring successful delivery within scope, time, and budget. This role requires a strong technical understanding of data environments and proven expertise in both traditional project management and Agile methodologies.

Responsibility

Own and maintain integrated technical and business roadmaps across 4+ concurrent GenAI tracks (Contract Digitisation, Contract Q&A, Finance Chat Agent, Supply Chain/Pricing Agentic Workflows)

Translate business priorities into actionable product requirements and development sprints

Balance short-term delivery milestones with long-term strategic AI capabilities

Identify dependencies and synergies across tracks to maximise reusability and accelerate delivery

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 100 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.

Requirements

• Strong proficiency in Databricks. (Must have)
• Should have extensively worked on Azure Hub, Azure Device SDK, Azure Device provisioning services, Azure Device twins, Azure Functions, Data bricks, Cosmos DB, Azure Stream analytics.
• Knowledgeable in tools used to identify and manage structured and unstructured data.
• Must have BI, EDW, along with Data Strategy, Architecture and Governance
• Defined and implemented information lifecycle management practices.
• Strong background and working knowledge in end-to-end data management principles.
• Strong background in developing and utilizing tools that prepare, extract and manipulate data to create connected datasets (data warehousing) that can be utilized for analytics purposes.
• Strong communicator at the technical levels
• Demonstrated teamwork skills.

Good to have-

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 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're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences.

Overview

As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively.

Responsibilities

Tiger Analytics is looking for experienced Senior 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 Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. 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

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

Fullstack Engineer (Web3)

Location: New York (Hybrid)
Compensation: $200K - $300K

We are hiring on behalf of our client, a core contributor to a high-performance, open-source blockchain ecosystem. They have pioneered the first parallelized EVM Layer 1, specifically engineered to scale Web3 applications to Web2-level performance. Their mission is to drive the mass adoption of digital assets by providing the infrastructure necessary for the next generation of global applications.

As a Fullstack Engineer, you will be at the epicenter of this evolution. You will not just be building features; you will be shaping the future of decentralized technology by empowering ecosystem partners to launch high-impact dApps. From decentralized exchanges (DEXs) and gaming to AI and DePIN, you will work across diverse domains to push the boundaries of what is possible on-chain.

What you’ll do: