Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 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 have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a highly experienced Techno-Functional Consultant who will lead Pricing Operations while driving the technology direction and architecture strategy across Google Cloud, Data Science Modeling, Agentic AI, Software Engineering, and Solution Architecture.

This is a hybrid role requiring strong business acumen in pricing and commercial operations, combined with deep technical expertise to design scalable, AI-driven, cloud-native solutions that enable intelligent pricing, automation, and data-driven decision-making.

The ideal candidate bridges business and engineering teams, ensuring pricing strategy is operationally efficient, analytically robust, and technologically advanced.

RESPONSIBILITIES:

1. Pricing Operations Leadership

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.

We are seeking a Techno-Functional Analytics Consultant to lead end-to-end client analytics programs. This role sits at the intersection of business strategy, data, and delivery. The consultant will partner closely with client stakeholders to understand business processes and data, co-design analytics solutions, guide hands-on analysis, oversee delivery execution, and clearly articulate business value to executive audiences.

Responsibilities:

Tiger Analytics is a 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 several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

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:

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.

Senior Data Engineer - AI-First Fintech Platform

Location: Remote - Fully Remote - Across Europe

Compensation: $120K - $140K

We are a rapidly growing fintech and crypto platform undergoing an AI-first transformation. We are seeking a strategic, high-impact, and high-ownership Senior Data Engineer to build the foundational data infrastructure that powers our cutting-edge AI features.

You will report directly to the CTO and work closely with our Machine Learning (ML) team to consolidate and govern our data ecosystem (including PostgreSQL, Kafka, BigQuery, and GCS) into a clean, governed, and ML-ready platform. Your contributions will directly enable critical AI functionality across our product suite.

This role is responsible for the end-to-end design, implementation, and governance of our core data platform, ensuring high performance and readiness for ML applications.

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.

Analytics Engineer

Full-time | On-site

Location: New York

We are a technology company leveraging AI and data to solve complex operational challenges in a life sciences context. We are seeking a highly motivated Analytics Engineer to build the robust data foundation that powers our operations, client reporting, and strategic growth. This is a high-autonomy, high-impact role essential for driving better, faster decisions across the entire organization.

As an Analytics Engineer, you will be the owner of our core data assets and practices. You will ensure data is clean, consistent, and readily available as a source of truth for all internal and external stakeholders, from product to leadership to key clients.

Key Responsibilities:

Senior Data/AI/ML Software Engineer

Location: Remote (US Only) or Hybrid (San Francisco Bay Area)

Employment Type: Full-time

Salary Range: $150K - $300K (Varies by level and location)

We are building a cutting-edge Clinical Data Intelligence platform that automates complex, low-level cognitive tasks involving clinical data and knowledge. We are seeking a highly experienced Senior Data/AI/ML Software Engineer to design, implement, and improve the core components of our system, leveraging advanced AI/ML/NLP techniques to dramatically increase efficiency in healthcare.

This role requires expertise across software engineering, AI/ML, and data engineering, with a focus on building data-intensive systems that empower clinicians and improve healthcare operations.

What You'll Do:

GoMining is seeking a highly skilled Database Engineer to join our team and ensure the performance, scalability, and reliability of our databases. This role is ideal for someone passionate about data architecture, high-performance database systems, and large-scale analytics in fast-paced fintech and crypto environments.

You will play a critical role in designing database solutions, optimizing queries, managing replication, and ensuring data integrity.

Responsibilities:

Database Architecture & Design

• Design, implement, and optimize database schemas for high-performance applications.
• Develop strategies for data partitioning, replication, and scaling.
• Evaluate and implement new database technologies for performance and reliability.

Maintenance & Optimization

• Monitor database performance and implement query optimization, indexing, and caching strategies.
• Manage backup, restore, and disaster recovery plans.
• Conduct capacity planning and performance tuning for production workloads.

Collaboration & Support