Machine Learning Scientist (SocialFi/Decentralized Platform)

Location: New York City, London (Office)

Compensation: $250K - $300K

We are a high-growth software development company comprised of elite builders, moving fast to redefine what is possible in the social and decentralized technology space. We are proud contributors to one of the largest global social networks in the crypto space. We are committed to leveraging cutting-edge technology to build the future of decentralized applications.

We are seeking an experienced Machine Learning Scientist to be instrumental in applying AI and ML techniques to shape the future of our platforms and beyond.

As a Machine Learning Scientist, you will work alongside world-class engineers and product teams to drive the development of sophisticated algorithms. These models will power key platform features such as personalization, recommendations, search, and real-time decision-making, significantly enhancing the user experience.

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 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

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

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Pharmacovigilance. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities:

• Supervise pharmacovigilance case management outsourced to assigned platform(s)
• Respond to case-related emails and inquiries from external service providers
• Monitor case processing timelines and investigate any delays in reporting or transmission
• Participate in weekly quality control of data entry, MedDRA coding, and narrative writing
• Support the review and validation of clinical study case narratives for inclusion in study reports
• Contribute to the reconciliation of PV cases with business partners per Safety Data Exchange Agreements (SDEAs)
• Oversee reconciliation of cases with clinical databases managed by outsourced providers
• Collaborate closely with cross-functional and global teams to ensure compliance and data integrity

Requirements

Senior Full Stack Software Engineer

Full-time | On-site

Location: San Francisco, CA

We are a high-growth AI company building the future of a core business function through a real-time conversational AI platform. Our platform serves both consumer-facing (the user experience) and enterprise-grade (data aggregation and analysis) software. We are looking for a Senior Full Stack Software Engineer to be a founding, hands-on builder in a small, passionate team.

As a hands-on engineer, you will own the development of high-impact features across our entire stack—from optimizing latency for real-time video conversations to building robust enterprise data analysis tools and integrations.

Key Responsibilities:

Full Stack Engineer (Founding Focus)

Full-time | On-site

Location: San Francisco, CA

We are a rapidly growing, founder-led AI platform transforming how key industries interact with critical government contract opportunities. We are seeking a highly motivated Full Stack Engineer to be the Founding Engineer responsible for building the core data pipeline and user-facing experience of our product. This role is ideal for an ambitious individual passionate about applying AI to solve mission-critical national security challenges.

This is a pivotal, high-impact role where you will own the end-to-end delivery of essential product features. You will be responsible for turning a massive volume of complex government data into actionable intelligence for our users.

Key Responsibilities:

Become a Key Player as a Power BI Data Engineer at HSO!

At HSO, we are committed to driving digital transformation through innovative data solutions. As a Power BI Data Engineer, you will play a pivotal role in helping our clients harness the power of their data to make informed business decisions. Your expertise in Power BI and data engineering will empower organizations to visualize and analyze their data effectively.

Key Responsibilities:

• Design, build, and maintain efficient Power BI reports and dashboards, ensuring they meet user requirements and deliver valuable insights.
• Develop and optimize data models and ETL processes to enhance data quality and access, using tools such as Azure Data Factory and SQL.
• Collaborate with stakeholders to gather business requirements and translate them into technical specifications.
• Monitor and analyze data performance and troubleshoot issues to ensure uninterrupted data flows and optimal system performance.
• Implement data governance techniques to ensure data integrity and security.
• Work with cross-functional teams to streamline data processes and improve overall data strategy.
• Provide training and support to end-users to empower them in leveraging Power BI effectively.

Requirements

What You Bring:

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 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

Full Stack Engineer (AI Defense/Government Contracts)

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site 5 days a week

About the Role

Our client is an AI platform redefining how companies interact with the government by matching them to defense contract opportunities they are most likely to win. The company is backed by top defense investors, is profitable, has hit $1M ARR in under 8 months, and is growing at 60% MoM. This mission-driven role focuses on solving critical national security problems.

They are seeking a Full Stack Engineer to be a Founding Engineer for building the core data pipeline and user-facing application. You will own the process of transforming a "firehose" of daily government data into useful, browsable, and interpretable insights for defense companies.

What You'll Do

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 an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools.

Key Responsibilities