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 / Lead Data Scientist with strong expertise in forecasting, tree-based models, and large-scale data processing. The role requires hands-on experience with PySpark, Databricks, and Azure and the ability to lead end-to-end model development and deployment. Experience with MLOps / DevOps is a strong plus.

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 Senior/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience 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

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.

At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Quento Technologies seeks a highly motivated and experienced IT Python Software Engineer.

Responsibilities:

Senior Data Scientist – DeFi Economic Risk & Security

Location: Remote - Preference is in Europe to overlap 5hours with EST timezone

Compensation: $130K - $150K

Join a pioneering company that provides the first automated, on-chain economic security system for crypto protocols. Our platform is trusted by leading DeFi protocols, collectively securing and managing billions of dollars in assets, by utilizing world-class custom EVM simulations to optimize risk management and capital efficiency. This is a high-impact role at the intersection of quantitative finance, data science, and decentralized technology.

As a Senior Data Scientist, reporting directly to the Head of Economic Risk & Strategy, you will be a critical driver of our modeling capabilities and data insights across the decentralized finance ecosystem. You will lead innovative research to understand market actor behavior and model these dynamics within our advanced simulation platform.

Your Mission & Responsibilities:

We are looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to the development of analytical models and automation.

Responsibilities

• Analyze marketing and product data to identify trends, patterns, and opportunities for optimization.
• Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI).
• Participate in building analytical and forecasting models based on product, financial, and behavioral data.
• Prepare technical documentation and maintain data dictionaries for the analytics function.
• Support automation of analytical processes, reporting pipelines, and recurring workflows.
• Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment.
• Present insights to stakeholders in a structured, clear, and actionable format.

Requirements

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 seek someone with a good blend of business consulting skills and a data analytics background to add to our team.

Responsibilities:

• Apply advanced Data Science and MLOps techniques to solve key business problems.
• Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
• Present insights and solutions to business leaders, demonstrating impact and value.
• Manage analytics projects and coordinate with global client and Tiger teams.
• Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
• Build and maintain strong client relationships to support account growth.
• Partner with technical teams to select appropriate analytical methods and generate actionable insights.
• Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements

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:

Quantitative Software Engineer - DeFi Economic Optimization

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, securing over $42 billion in customer TVL. We are seeking highly skilled and motivated Quantitative Software Engineers to drive the safe progression of future financial systems.

You will be at the intersection of quantitative finance and software engineering, driving the design and implementation of risk management and optimization strategies for major DeFi protocols. This role involves full ownership, from building robust data pipelines and core modeling platforms to deploying logic that enhances capital efficiency and risk-adjusted yields.

Key Responsibilities:

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

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 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