Location: San Francisco, CA (Union Square)

Employment Type: Full-time

On-site: 5 days a week in-office

About the Role

Our client, an AI company recently acquired by a major industry leader, builds a GenAI-native platform that automates tax document processing, serving top accounting firms and private wealth offices. Their technology achieves high accuracy by turning tens of thousands of pages of complex tax documents into structured data in minutes.

They are seeking an exceptional Member of Technical Staff (Backend) with a desire for outsized responsibility and impact. This engineer will be crucial in building the core systems that deploy their machine learning capabilities and driving architectural choices for their core services.

What You'll Be Doing

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.

We are seeking a Data Scientist having good experience in building Models and advanced analytics solutions. The role involves leading client discussions, designing models around SEO and Paid Searches, and guiding cross-functional teams in delivering end-to-end data science projects.

Key Responsibilities:

Location: New York, NY (Flatiron District)

Employment Type: Full-time

On-site: 5 days/week in-person (Non-negotiable)

About the Role

Our client is a high-growth, venture-backed defense tech company working at the cutting edge of signal processing, machine learning, and embedded systems. As a Machine Learning Infra Engineer, you will design and build core infrastructure from scratch to handle petabytes of radio spectrum data. This is a high-ownership role for an experienced engineer who has strong opinions on tooling best practices and can make informed, future-proof decisions about architecture.

This team operates with a high bar for talent, a culture of high growth and high ownership, and requires an in-person presence to foster collaboration.

What You'll Do

Location: Palo Alto, CA

Employment Type: Full-time

On-site: 5 days/week in-office

About the Role

Our client, an AI company focused on dramatically accelerating semiconductor design, is seeking a world-class ML leader to architect and own their entire AI roadmap. They are solving the critical problem of exponentially increasing chip design costs by providing an integrated AI agent and code editor workflow to make silicon engineers 4x more productive. This is a foundational role where you will define the technical trajectory across the platform, including code generation, reinforcement learning, and layout optimization.

This position requires a deep, hands-on expert who can lead a growing ML team while actively contributing to the technical work.

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. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking 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

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 to work on unstructured business problems that can be solved using data, we would like to talk to you.

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. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking 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

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.

We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects.

Responsibilities:

• Lead data science consulting engagements for pharma clients, ensuring business impact and value realization.
• Architect and implement Agentic AI, GenAI, and advanced ML solutions tailored for pharma and healthcare use cases.
• Build and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges.
• Partner with senior stakeholders to define data strategy, AI roadmaps, and transformation programs.
• Stay updated on emerging AI technologies, regulations, and best practices in pharma.

Requirements

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

The Business Analyst will support due diligence, portfolio monitoring, and investment analysis by ensuring the integrity and accuracy of land, mineral, and royalty data. This role bridges technical data management and business decision-making — combining analytical skills with cross-functional collaboration across geoscience, legal, finance, and engineering teams.

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 seeking a dynamic and technically accomplished Director of R&D Advanced Data & Digital Platforms Product Management to lead the product management function for digital, data, and analytics platforms supporting pharmaceutical R&D. This role is critical to building and scaling the foundational platform capabilities that enable advanced analytics, machine learning, and data science across the R&D organization—including preclinical, translational, and clinical research workflows.

Reporting to the Head of R&D Digital Platforms, this role will define and execute the platform strategy that supports cross-R&D solution delivery, ensuring alignment with scientific goals, regulatory requirements, and enterprise digital strategies. You will lead a team of product managers and analysts while collaborating closely with R&D, data science, and digital technology partners to deliver secure, scalable, and high-performance capabilities.