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 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.

We are seeking a Senior Consultant with a strong Life Sciences background and hands-on analytics experience. The ideal candidate will work closely with stakeholders to deliver data-driven insights, support analytics initiatives, and contribute to advanced analytics and GenAI-driven solutions within the Life Sciences domain.

Key Responsibilities

• Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
• Perform hands-on data analysis using SQL to support business insights and decision-making
• Support analytics initiatives, including advanced analytics and GenAI-driven use cases
• Conduct exploratory data analysis to identify trends, risks, and opportunities
• Collaborate with cross-functional teams, including analytics, data engineering, and business teams
• Deliver high-quality consulting outputs while working in an onsite, client-facing environment

Requirements

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 Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management. You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business and cross-functional teams, you will translate hypotheses into robust analytical models, validate outcomes with statistical rigor, and clearly communicate results to drive data-backed decision-making and measurable business value.

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 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

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.

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 225 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About The Job:

As a Developer Support Engineer, you'll be the go-to expert for helping customers integrate with our Web Scraping API (Zyte API) and Cloud Spider Deployment Platform (Scrapy Cloud). You’ll troubleshoot API issues, resolve scraping blocks, help deploy and debug crawlers in the cloud, and assist with usage and billing questions — whatever it takes to keep our customers get-going with their business!

Founding Engineer - AI Data Cleaning & Financial Infrastructure

Location: On site - New York

Compensation: $150,000 – $250,000

We are a high-growth, YC-backed company building the clean data layer for everyone, starting with financial firms. Our platform solves complex data cleaning challenges, delivering accurate, refined data via a simple API that integrates effortlessly into existing ELT pipelines, combining the best of AI and expert human review. We are seeking a Founding Engineer to design, build, and scale our core AI-powered data systems.

This is an unparalleled opportunity to join an early team and drive both the product strategy and the technical direction of the company. You will have immense impact and ownership, working across the entire stack to create a reliable and accurate data platform. You must be a strong engineer excited to work at the intersection of production software and frontier AI/LLM technologies.

What You’ll Do:

Applied AI Engineer

Location: NYC (On-site, 5 days/week)

Employment Type: Full-time

Salary Range: $150K - $225K

We are a rapidly growing, well-funded technology company operating at the intersection of AI, Software Development, and the Healthcare/Life Sciences industry. We are building a foundational network and applying advanced AI techniques to revolutionize how new life-changing therapies reach patients. This is a demanding, high-autonomy role with end-to-end responsibility for driving measurable business impact. Visa sponsorship is available.

As an Applied AI Engineer, you will be responsible for leveraging LLMs and various Machine Learning techniques to solve critical business problems, automate complex processes, and create groundbreaking AI applications across our product suite. This role requires a deep understanding of the business domain to ensure your technical output directly drives user growth, operational efficiency, and revenue generation.

Key Responsibilities:

Applied AI Engineer

Location: NYC (100% On-site in Soho)

Compensation: $150,000 - $225,000 (Base Salary) + Competitive Equity

We are building the world's largest network of doctors, patients, and first-party data, applying AI to every step of bringing new therapies to market. Our first product ensures patients get life-changing therapeutics as quickly and cheaply as possible by abstracting complex insurance, affordability, and supply chain logistics. Backed by top-tier investors, we are seeking an Applied AI Engineer to take end-to-end responsibility for projects that drive user growth, operational efficiency, and revenue generation.

This is a demanding, high-autonomy role focused on the production use of LLMs and ML to solve core business problems in the highly complex healthcare and life sciences space. You will operate as an owner, driving impact across the product surface area and influencing business decisions.

If you join, you will:

Founding Engineer

Location: New York City, NY (100% On-site)

Compensation: $150,000 - $250,000 (Base Salary) + Significant Early-Stage Equity

We are an early-stage, YC-backed company building the future clean data layer for the internet, starting with financial firms. Our platform solves complex data cleaning, extraction, and validation problems by combining advanced AI (LLMs) with expert human review via a simple API. We're looking for a highly capable and driven Founding Engineer to join us and help build the core of our platform from the ground up. This role offers an opportunity for the right candidate to grow into a CTO-level position.

As a Founding Engineer, you will take ownership of critical systems that drive our product, working across the entire stack. You will directly influence our product strategy and technical direction, experiencing the full arc of building a successful startup.

What you'll do: