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 Principal 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, and leadership. 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

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:

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:

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 a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team.

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 a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

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

Tiger Analytics is a leading advanced analytics consulting firm, partnering with several Fortune 100 companies to leverage data for creating significant business value. We pride ourselves in our deep expertise in data science, machine learning, and AI, which has earned recognition from notable market research firms, including Forrester and Gartner.

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Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Senior Data Scientist - B2B based in Europe or Asia.

As a Senior Data Scientist, you will join a distributed team focused on unlocking insights that power data-driven decisions for B2B initiatives. You’ll work closely with other data scientists and engineers to explore user behavior, design impactful experiments, and develop strategic models that improve customer acquisition, retention, and product development. Your work will directly shape how professionals use digital tools at scale in a rapidly growing market segment. The team values autonomy, documentation, and async-first collaboration, with flexibility for remote work and timezone balance.

Accountabilities: