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.

The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform using Microsoft Power BI and the Azure ecosystem. This role involves assessing infrastructure requirements, defining best practices, guiding BI Engineers, enabling security, handling large data, and ensuring scalable, high-performing BI solutions that align with business needs.

Key Requirements:

Senior Data Scientist - Economic Risk & DeFi Simulation

Location: Remote - Preference for NYC - Will accept Remote USA & Europe to work EST hours

Compensation: $130K - $150K

We are the first automated, on-chain economic security system, trusted by leading protocols managing billions of dollars (including Aave, GMX, dYdX, and others). We provide actionable insights by analyzing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Senior Data Scientist to advance our modeling capabilities and deliver powerful data insights across decentralized finance.

Reporting to the Head of Economic Risk & Strategy, you will play a critical role in strategic research, simulation, and risk analysis for market-leading protocols. This involves deep diving into complex crypto systems, modeling actor behavior, and translating intricate simulation results into intuitive, game-changing analytics for our institutional customers.

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 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

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 skilled Finance Director to lead our financial planning & analysis (FP&A) efforts, providing strategic guidance and oversight across the organization. You will play a crucial role in shaping financial strategies, driving performance optimization, and ensuring the financial health of the company.

You will oversee budgeting, forecasting, and financial reporting, while collaborating with cross-functional teams to ensure alignment with our overall business objectives. If you have a mix of strategic vision, analytical prowess, and leadership skills, we encourage you to apply.

Responsibilities:

About Signal Ventures: Signal Ventures, the venture capital & strategic investment arm of The Signal Group, is a specialized venture capital firm focused on supporting early-stage technology startups and entrepreneurs in the shipping, logistics, mobility, and commodities sectors. With a track record of over 15 investments, 3 incubation projects, and successful exits for notable companies like OilX and nuTonomy, Signal Ventures is at the forefront of the industry.

About the role: We are currently seeking a highly motivated, analytical and Insightful analyst to join our team on a fixed-term six month contract. The successful candidate will play a pivotal role in managing deal flow and conducting due diligence for a portion of our portfolio. Reporting directly to the SVP of Tech Ventures and working closely with the Signal Ventures team, this role will contribute to the growth and success of Signal Ventures. 

This role is suited for recent graduates (0-2 years of experience) who are eager to get hands-on experience in the VC industry. We value open, rigorous debate and expect this person to bring fresh perspectives, question assumptions, and constructively challenge our thinking. 

Requirements

Tiger Analytics is a leading advanced analytics consulting firm, recognized for its deep expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with several Fortune 100 companies to solve complex business challenges and drive measurable impact through innovative analytical solutions.

We are seeking an experienced Onsite Techno-Functional Lead to drive a key digital transformation initiative for a leading wealth management firm. In this role, you will serve as the primary liaison between client stakeholders and our offshore delivery team, translating business requirements into effective technical solutions for the firm’s new Advisor and Client Portals. Your leadership, domain expertise, and technical acumen will be instrumental in ensuring the project’s success and delivering tangible business value.

Responsibilities-

• Lead client engagement, from requirement gathering and analysis to stakeholder management.
• Provide techno-functional leadership, designing solutions and guiding the integration of systems like Salesforce and Tamarac.
• Manage the project using Agile methodologies, coordinating with offshore teams to ensure timely and high-quality delivery.
• Drive the end-to-end project lifecycle, including risk management and quality assurance.

Requirements

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 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 looking for an experienced Business Intelligence (BI) Consultant to join our team in Beaverton, Oregon. The ideal candidate will have a strong technical background in SQL and Tableau, along with proven experience in the Retail domain. This role requires someone who can translate complex data into meaningful insights that support business growth and strategic decision-making.

Key Responsibilities

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services 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 Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking to hire a Data Architecture Lead to design, develop, and govern the organization’s end-to-end data ecosystem. This role will define the vision, strategy, and roadmap for how data is collected, integrated, stored, and accessed to enable digital transformation, AI/ML, and advanced analytics initiatives.

Requirements

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers. 

What will you be doing?

As an AI Engineer you will help design, build, and deploy advanced artificial intelligence solutions. You will work closely with data scientists, software engineers, and product teams to develop machine learning models, integrate AI capabilities into products, and optimize systems for performance and scalability.

The ideal candidate combines strong technical expertise in machine learning and deep learning with hands-on experience in software engineering and data processing.

Responsibilities