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 highly skilled and experienced Lead Data Scientist with strong expertise in forecasting models, including ARIMA, time series modeling, and PMPM forecasting, preferably within the healthcare domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Key Responsibilities

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

About the Role

We are looking for a motivated Junior Product Owner / Business Analyst to join our product team remotely. This is an entry-level role, ideal for someone early in their career.

You will work closely with product managers, developers, designers, and stakeholders to help gather requirements, document business needs, and support the delivery of user-centered digital solutions.

Key Responsibilities

Who we are 

At DOF what we do is as important as the way we do business – our operations are safe, legal and ethical, everywhere we do business. The DOF team treat each other and our surroundings with RESPECT, INTEGRITY and strive for EXCELLENCE in all we do. All our employees are expected to have a drive for results and solve problems, but not without showing integrity and focusing on communication along the way. 

With a multi-national workforce of over 5000 personnel, DOF is an international group of companies which owns and operates a fleet of modern offshore/subsea vessels, with an engineering, survey and ROV capacity to service both the offshore and subsea market. With more than 40 years in the offshore business, the DOF group has a strong position in terms of experience, innovation, product range, technology, and capacity. 

DOFs core activities are vessel ownership, vessel management, project management, engineering, vessel operations, survey, remote intervention, and diving operations. DOF offers a full spectrum of top-quality offshore services to facilitate an ever-growing and demanding energy industry. 

Senior Site Reliability Engineer (Enterprise Platform)

Location: Remote - US - Open to Europe if happy to overlap with EST

Compensation: Competitive

We are a high-growth software company supporting the development of a premier open-source, EVM-compatible public ledger built for global enterprise and Web3 use cases. We are currently hiring a Senior Site Reliability Engineer for our "greenfield" enterprise-focused team. This team is building a private and consortium distributed ledger platform designed specifically for sectors with high security and privacy requirements, such as financial services, healthcare, and supply chain.

This is a hands-on, high-impact role where you will own the design, deployment, and reliability of mission-critical, multi-region infrastructure. This is not a traditional support role; we are looking for an engineer who has operated real systems at scale and is eager to take end-to-end ownership of architecture and operational standards from the ground up.

Key Responsibilities:

Tiger Analytics is looking for experienced GenAI Architect to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, 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 a hands-on Engineering Lead with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can lead the design, development, and integration of AI-powered components into real-world, production-grade applications. This role demands strong engineering leadership and best practices, a practical approach to application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will lead the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases— all while ensuring compliance with enterprise integration standards.

Requirements

Responsibilities

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building, evaluating, and deploying advanced Generative AI systems. The ideal candidate will have deep expertise in agentic frameworks, model fine-tuning, and reinforcement learning, along with a strong focus on experimentation, reliability, and hallucination mitigation beyond prompt engineering.

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. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

We are seeking an experienced Business Analyst & Team Lead with strong domain expertise in Life Sciences and Pharma, particularly in Market Access and Speciality Pharma. The ideal candidate will combine deep domain knowledge with strong analytics and leadership skills to deliver high-quality, client-facing solutions

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. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities

We are looking for an Account Manager to support and grow GoMining’s referral and partner ecosystem.

This role focuses on working with active referrers, ambassadors, and partners: helping them understand all GoMining products, answering questions, resolving issues, and supporting them in achieving better results. You will act as the main point of contact between partners, product, and internal teams.

Responsibilities

• Act as the primary point of contact for referral partners, ambassadors, and active referrers.
• Explain GoMining products, features, mechanics, and updates to partners in a clear and structured way.
• Support partners in their daily work: answer questions, resolve issues, and help them use the platform effectively.
• Collect partner requests, issues, and feedback; create tasks, tickets, and bug reports for product and tech teams.
• Track partner activity, performance, and communication in CRM (Monday CRM).
• Help partners reach better results by suggesting promotion approaches, product use cases, and referral mechanics.
• Proactively identify problems, opportunities, and growth hypotheses based on partner feedback and behavior.
• Collaborate closely with Affiliate Managers, Referral Managers, Support, Product, and Marketing teams.
  

Requirements

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 seeking a Senior Consultant with a strong Life Sciences background and hands-on analytics experience. The ideal candidate will work closely with stakeholders to deliver data-driven insights, support analytics initiatives, and contribute to advanced analytics and GenAI-driven solutions within the Life Sciences domain.

Key Responsibilities

• Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
• Perform hands-on data analysis using SQL to support business insights and decision-making
• Support analytics initiatives, including advanced analytics and GenAI-driven use cases
• Conduct exploratory data analysis to identify trends, risks, and opportunities
• Collaborate with cross-functional teams, including analytics, data engineering, and business teams
• Deliver high-quality consulting outputs while working in an onsite, client-facing environment

Requirements