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 (Full-Stack / Generalist)

Location: Remote / Flexible Type: Full-Time

Compensation: Competitive

We are seeking an experienced, versatile Data Scientist who thrives in a fast-paced startup environment. In this role, you will have the freedom to identify high-impact opportunities, design and implement technical solutions, and measure their success across our global product suite.

We value generalists over specialists. The ideal candidate has broad experience across the entire data science lifecycle rather than deep expertise in just one niche. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. At our firm, you aren't just a number; you maintain ownership of your projects from initial conception to final implementation.

What You'll Do:

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.

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

Founding ML/Data Science Engineer

Location: San Francisco, CA (Hybrid) Employment Type: Full-time

About the Role

Our client is building the revenue execution system for B2B enterprises, tackling the underpenetrated space of post-sales enablement. They are combining LLMs with structured customer data to automate account scoring, cohort segmentation, and expansion playbooks. As a Founding ML/Data Science Engineer, you'll work directly with the founders to architect, build, and scale this platform from 0 to 1, with full ownership of core features.

This role requires a hybrid engineer who can both architect production ML systems and make sophisticated modeling decisions. You'll need to be equally comfortable with classical ML and cutting-edge language models.

Core Responsibilities

About Jobgether:

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 companies is currently looking for a Data Scientist in United States.

This is a high-impact role on the Demand Analytics team, where you'll support marketing strategy through rigorous data analysis and machine learning. You will develop and maintain models that evaluate marketing performance and inform optimization decisions across channels. Collaborating closely with marketing and analytics stakeholders, you’ll shape strategies through experimentation, causal inference, and deep exploratory analysis. The ideal candidate brings a balance of technical expertise, curiosity, and strong communication to bridge data insights with actionable business decisions.

Accountabilities:

About Jobgether

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 companies is currently looking for a Senior Staff Data Scientist (Growth) in United States.

As a Senior Staff Data Scientist, you will play a pivotal role in driving business growth through the development and deployment of advanced machine learning models. Your expertise will help enhance customer experiences, optimize processes, and deliver actionable insights at scale. You will work closely with cross-functional teams, including product managers and engineers, to implement cutting-edge AI solutions and ensure they deliver tangible value in a production environment. This is a unique opportunity to shape the future of a fast-growing company while solving complex, high-impact problems.

Accountabilities: