Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. 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

About us:

Soar is a global fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial and property investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.

Role Summary:

This role is for engineers who operate at a higher abstraction level. You will design, manage, and optimize AI agents that generate code, workflows, and business logic. Your responsibility is to ensure outputs are correct, scalable, and aligned with business goals.

You are expected to:

• Reduce development time through AI
• Improve output quality through validation and iteration
• Continuously refine agent performance

Key Responsibilities:

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. 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

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. 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

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 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 seeking a highly skilled and experienced Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering (MLE). The ideal candidate will have a proven track record in designing, implementing, and deploying large-scale recommendation solutions, while also leading projects and mentoring teams. This role requires technical depth, hands-on coding, and the ability to engage directly with clients and stakeholders .

Key Responsibilities

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.

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 Solution Integrator.

Responsibilities:

Senior Software Engineer - AI-Powered Healthcare Communication

Location: Hybrid - San franciisco

Compensation: $125K - $200K

We are a high-growth AI and Healthcare technology company with the mission of making exceptional healthcare accessible anytime, anywhere, for everyone. Our platform uses Generative AI to facilitate millions of patient interactions, helping health systems automate operational tasks and navigate care at scale. We are well-capitalized, growing rapidly (with 10x revenue growth since January), and backed by leading investors. We are seeking a product-minded Senior Software Engineer to build and scale the customizable fleet of GenAI agents that power our platform.

You will be a critical, autonomous contributor, deeply involved in key decisions alongside the founders. Your primary focus will be on building our AI-powered healthcare communication platform, which includes developing voice agents that serve as the first point of contact for medical practices, handling tasks from appointment scheduling to patient triage. You will translate complex healthcare needs into scalable, secure software solutions.

Responsibilities:

Senior Infrastructure Software Engineer - Medical AI Platform

Location: Hybrid - Miami

Compensation: $200,000 – $250,000

We are the world’s leading AI medical information platform, featured by the New England Journal of Medicine and trusted by medical professionals at over 10,000 care centers worldwide. Our mission-critical platform provides accurate, cited, and grounded answers at the point of care. Backed by investors including Sequoia Capital and Mayo Clinic, we are seeking a Senior Infrastructure Software Engineer to build the highly reliable and secure backbone for our medical AI platform.

Joining our Core Engineering team, you will have exceptional technical scope and direct impact, translating business objectives into elegant, scalable technical solutions. This is a hybrid role for a backend expert who thrives in a focused startup environment, owning key infrastructure and driving initiatives across reliability, data, and security, specifically handling sensitive medical data at scale.

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: