Location: San Francisco, UNITED STATES (Office)

On-Site | Full-time

Compensation: $150K - $200K

Our client is an early-stage hardware company building advanced automated process cells that unite precision machinery, board handling, assembly, and electrical testing into a single, high-speed iteration loop.

They are seeking a highly hands-on Founding Mechanical Engineer to own the design, prototyping, and validation of core physical mechanisms. This individual will directly design and build precision assemblies, motion systems, custom fixtures, and robotic handoffs designed for repeatable, high-cycle performance.

This is an intensive, high-ownership role based fully on-site in San Francisco. The ideal candidate thrives in a fast-paced hardware development environment, favors practical bench-testing over prolonged CAD cycles, and takes pride in taking complex physical problems from messy prototypes to fully functioning automated systems.

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 looking for a  hands-on data modeling expert to lead the onshore delivery of a transaction monitoring optimization engagement for a large US bank. The focus is reducing false positives in high-volume, low-conversion monitoring rules by moving from broad rule cutoffs to statistically grounded segmentation and classification models. You'll be the primary onshore point of contact and navigating the client's data environment, driving analysis, developing models, and coordinating a small offshore team, while keeping the work aligned to the bank's model risk governance standards.

Requirements

Key Responsibilities

Discovery & data analysis

About Us

With a long history of operating and investing in the shipping industry, Danaos manages one of the largest independently owned fleets of modern containerships and dry bulk vessels. Recognized for its operational performance, technological innovation and commitment to sustainability, Danaos continues to invest in advanced technologies and operational excellence.

As the Company’s technology landscape continues to evolve, Internal Audit is strengthening its assurance capabilities across IT, cybersecurity and digital risk. We are seeking an experienced IT Auditor to provide hands-on audit coverage over technology systems and controls, with sound professional judgment and the ability to work constructively with both technology and business teams.

As a Senior IT Auditor, you will:

Join Excelya, where Audacity, Care and Energy define who we are and how we work. We believe in creating ambitious solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role offers an exciting opportunity to join a dynamic and ambitious team and contribute to a strategic enterprise-wide transformation program. As a Senior EDMS Migration Lead, you will play a key role in shaping the future document management landscape.

Key Responsabilities :

Location:  Bangalore – Work From Office (WFO)

5-month contract | Contract

A leading cybersecurity organization is seeking an experienced Senior QA Architect / QA Lead specializing in Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) solutions. This is an urgent, five-month contractual engagement based on-site in Bangalore

The successful candidate will lead quality assurance strategy, architect comprehensive test automation frameworks, and ensure the robust delivery of enterprise-grade security products.

Key Responsibilities

• Design, establish, and execute end-to-end QA architecture and testing strategies tailored for complex EDR and XDR cybersecurity solutions.
• Drive the execution of functional, non-functional, security, performance, and scalability testing across endpoint and cloud components.
• Lead test planning, scenario design, and automation framework development to optimize test coverage and operational efficiency.
• Collaborate closely with cross-functional engineering, development, and architecture teams to identify risks, diagnose bugs, and validate fixes.
• Establish QA performance metrics, quality standards, and continuous improvement practices across the delivery lifecycle.

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.

The Product Owner is responsible for supporting execution of the New Product Setup (NPS) roadmap by managing backlog readiness, coordinating sprint activities, and ensuring business needs are translated into delivery outcomes. This role partners closely with business stakeholders, developers, testers, and process teams to support efficient sprint execution, capture feedback, and prepare releases for deployment. The role will initially focus on NPS and may expand to support additional processes over time.

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.

The Business Analyst will support due diligence, portfolio monitoring, and investment analysis by ensuring the integrity and accuracy of land, mineral, and royalty data. This role bridges technical data management and business decision-making — combining analytical skills with cross-functional collaboration across geoscience, legal, finance, and engineering teams.

Key Responsibilities

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.

The Business Analyst will support due diligence, portfolio monitoring, and investment analysis by ensuring the integrity and accuracy of land, mineral, and royalty data. This role bridges technical data management and business decision-making — combining analytical skills with cross-functional collaboration across geoscience, legal, finance, and engineering teams.

Key Responsibilities

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.

The Business Analyst will support due diligence, portfolio monitoring, and investment analysis by ensuring the integrity and accuracy of land, mineral, and royalty data. This role bridges technical data management and business decision-making — combining analytical skills with cross-functional collaboration across geoscience, legal, finance, and engineering teams.

Key Responsibilities

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions.

We are looking for an experienced Data Product Owner who can bridge the gap between source system teams, data engineering, business stakeholders, and downstream data consumers. The ideal candidate will have strong experience working on enterprise data projects and a solid understanding of modern cloud data architectures, data products, data quality, data contracts, and engineering delivery practices.

Responsibilities-