About Tiger Analytics

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 seeking a hands-on, highly skilled Senior Data Scientist to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, You'll build the decisioning engine behind next best action (NBA) and next best content (NBC) for commercial teams. The work covers modeling, offline evaluation, and production deployment on Databricks.

Key Responsibilities:

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 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 Data Scientist – Causal Inference & Customer Loyalty to join a brand-new Business Unit (BU) supporting leading Retail and CPG clients. In this role, you will design, develop, and deploy advanced causal and predictive solutions that drive critical business decisions across customer retention, loyalty program optimization, churn mitigation, and lifecycle monetization.

You will work closely with business stakeholders, marketing leaders, data engineers, and analytics leadership to build foundational data models and scalable algorithms that deliver measurable revenue generation from customer behavior. The ideal candidate combines strong causal inference expertise with hands-on machine learning experience and the ability to translate complex behavioral data into actionable business recommendations.

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 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

Chez Excelya, nous sommes une équipe dynamique de plus de 900 professionnels passionnés, dédiés à devenir la CRO de taille intermédiaire leader en Europe. Nous offrons une expérience collaborateur unique dans un environnement stimulant et innovant.

Nous recherchons un(e) Technicien d'étude Clinique pour rejoindre notre équipe et contribuer au succès de nos projets cliniques en garantissant la qualité et la conformité des données recueillies.

Responsabilités

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 Data Scientist to support the team in developing innovative solutions to build and evolve the next generation of our advertising measurement framework. The role requires hands-on experience with Python, Databricks, and Azure and the ability to lead end-to-end model development and deployment.

Key Responsibilities

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:

Data Scientist

Location: New York

On-site | Full-time

Compensation: Competitive

Our client is a high-performance technology development company responsible for the entire technical stack behind the world’s largest and most active digital asset launchpads. Operating at the absolute edge of crypto scale, the systems managed by this organization are defined by ultra-low latency, high throughput, and constant high-concurrency load. This is a mission-critical environment where technical precision is paramount and the impact of every deployment is immediate.

The organization is seeking an experienced, versatile Data Scientist who thrives in an intense, fast-paced setting. This role provides the autonomy to identify high-impact opportunities, design sophisticated analytical solutions, and measure their direct effect on a product used by massive global audiences. Joining this team means entering a high-density talent environment that values first-principles thinking, extreme ownership, and the ability to operate independently within a high-stakes ecosystem.

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 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

Data Scientist - Consumer Product Optimization

Location: New York City, London (Office)

Compensation: $250K - $300K

We are seeking an experienced, versatile Data Scientist to join our team, which is focused on a fast-paced consumer-facing product within the fintech or equivalent industry. This is a high-autonomy role where you will have the freedom to identify opportunities, design and implement solutions, and measure their impact across our entire product suite.

We value generalists who possess breadth across the data science field and thrive on end-to-end ownership. You will collaborate with cross-functional teams while driving projects independently from conception to completion.

The Data Scientist will be responsible for leveraging data to drive product decisions, optimize user experiences, and uncover strategic opportunities for growth.