Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are looking for a Lead Data Scientist with strong experience in pharmaceutical commercial analytics, patient-level modeling, and healthcare data science. The ideal candidate will have hands-on experience working with US claims and real-world data (RWD) to develop predictive models, generate actionable insights, and optimize HCP engagement and commercial strategies.

The role requires strong technical expertise, leadership capabilities, and the ability to work directly with clients and present analytical findings to senior stakeholders.

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 looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The AI Engineer drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Azure as cloud. You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Scientist to own the part that comes before the system exists: what question is actually being asked, which method answers it, whether the answer holds up, and how anyone would know.The role is fully remote across Latin America, aligned to your client's working day.

You will not be handed a specification. Azumo has shipped models into production since 2016, and the work here starts with a client who knows what bothers them and does not yet know what to measure. Turning that into a model, a baseline, and a number someone can act on is the job.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Scientist lane, and it owns the question and the method.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate, or the question was the wrong one" is yours. "The system did the wrong thing with an appropriate method" is the AI Engineer's.

Not quite your profile? Check our other openings:

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:

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 looking for a highly skilled GenAI Engineer with strong hands-on experience in building, evaluating, and deploying advanced Generative AI systems. The ideal candidate will have deep expertise in agentic frameworks, model fine-tuning, and reinforcement learning, along with a strong focus on experimentation, reliability, and hallucination mitigation beyond prompt engineering.

Requirements

Staff Data Scientist

Full-time | On-site

Location: San Francisco

We are a well-funded, rapidly growing technology company building advanced AI solutions for the enterprise. We are seeking a Staff Data Scientist to bring deep technical rigor, statistical expertise, and product acumen to our data-driven decision-making process. This high-impact role requires an ability to structure ambiguous problems and directly influence product strategy and company performance.

As a Staff Data Scientist, you will be the primary driver of experimentation culture and advanced analysis, ensuring data is used strategically to measure growth, test product changes, and evaluate the performance of our AI models.

In this role, you will:

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

Staff Data Scientist

Location: San Francisco, CA (100% On-site)

Compensation: $200,000 - $300,000 (Base Salary) + Equity

We are a high-growth, well-funded AI company building the most advanced conversational AI agents for the enterprise, serving customers like Duolingo, Notion, and Rippling. We are seeking a Staff Data Scientist to bring deep technical rigor, advanced statistical methods, and analytical frameworks to our product and business strategy. This role requires a blend of strong analytical expertise, product acumen, and the ability to influence strategic decision-making at the highest levels.

As a Staff Data Scientist, you will be the primary driver of data-driven decision-making and the experimentation culture across the entire company. Your work will directly inform product strategy and company performance.

In this role, you will:

Company Introduction

We're part of a leading Recruitment-as-a-Service (RaaS) network powered by Hustler Marketing. Hustler Marketing is a full-service digital agency serving eCommerce stores and B2B brands globally, specializing in email & SMS marketing, UGC ads, creative production, and high-quality talent placement.

What sets us apart is our values: bold creativity, data-driven decision making, and a linchpin mindset. Nearly 75 clients across 5 continents trust us not only for campaigns, but also for building strong, scalable teams that drive long-term growth. Hustler Marketing recruits top talent across the Americas, Europe, and Asia, offering flexibility, global reach, and meaningful opportunities to shape client success.

About the Role

The Head of Conversion Rate Optimization is a senior leadership position responsible for driving and overseeing CRO strategies across our portfolio of high-growth clients. This role combines strategic thinking with hands-on expertise, requiring you to lead CRO initiatives, mentor team members, and interface directly with C-level clients to deliver transformational business results.

Location: San Francisco, CA

Employment Type: Full-time

On-site: 5 days a week in-office

About the Role

Our client, a high-growth AI company building advanced conversational AI agents for enterprises (with over $231 million in funding and clients like Duolingo and Notion), is seeking a Staff Data Scientist. This role demands deep technical rigor to analyze, test, and apply data across the business.

You'll blend advanced analytical expertise with product acumen to influence strategic decisions at the highest levels, being the primary driver of the experimentation culture.

What You'll Do