Senior AI Data Scientist

Location: Remote - USA, Europe, Israel

Compensation: $130K - $150K

We are a leading financial technology firm building the infrastructure for safer, more accessible global markets. Our risk management systems, oracles, and AI models secure hundreds of billions in assets and process trillions in transaction volume across major protocols. We recently launched a cutting-edge financial intelligence platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to a global audience.

We are seeking a Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind our financial intelligence platform. This role sits at the intersection of LLMs, financial data, and decision systems.

You will own the logic behind how our models reason over data, how agents coordinate and make decisions, and how we rigorously measure quality, correctness, and risk in production AI workflows. You’ll work closely with product, engineering, and research teams to move from experimentation to reliable, scalable AI systems that operate under real-world financial constraints.

Key Responsibilities:

Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna, we are looking for a Data Engineer to build the analytics engine that will power our next phase of growth.

The Role

As our Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help us understand our users, optimize our growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue.

What You’ll Do

We are seeking on behalf of our client, a visionary and results-driven Head of Marketing to lead the marketing strategy for their Events division and drive its growth. In this role, you will be responsible for developing and executing strategic marketing plans, overseeing brand positioning and launching innovative campaigns that elevate the Company's events on a global scale. Your expertise in both traditional and digital marketing, along with your ability to leverage data-driven insights, will be key to expanding our audience reach, increasing engagement and achieving our business goals.

Responsibilities:

Marketing Strategy:

• Develop comprehensive marketing strategies aligned with the company's goals and growth objectives.
  
• Create communication strategies for events.
  
• Establish a clear brand messaging framework that resonates with our target audience and sets us apart from competitors. 
  

Digital and Social Media Marketing:

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 an Director of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

We are a growth team responsible for basically the growth of the company. We are looking for a Performance Analyst who will own event tracking, attribution quality, and traffic efficiency across mobile and web products.

Responsibilities

• Implement and maintain event tracking for mobile apps and web platforms.
• Work with 3rd-party tracking platforms (Adjust, AppsFlyer)
• Postback setup and reconciliation
• Integrate and support SDKs (mobile & web) in close collaboration with engineering teams
• Work with Google Firebase: event configuration and validation funnel, retention, and behavioral analysis
• Work with Google ICM and Facebook AEM
• Design and maintain server-to-server (S2S) tracking: client vs server-side event logic
• Monitoring and resolving data discrepancies
• Analyze traffic quality and data efficiency:

- Identify low-quality or fraudulent traffic
- Analyze cohort behavior, retention, LTV, and conversion paths

• Apply anti-fraud techniques:

- Detect abnormal patterns (click spamming, SDK spoofing, bot traffic, attribution fraud)
- Collaborate with platforms and ad networks on fraud prevention
- Build and maintain whitelists and blacklists of traffic sources, placements, and publishers

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 an Associate Director / Senior Manager of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

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

We are looking for a Referral & Ambassador Manager to grow GoMining’s referral ecosystem through ambassadors, communities, bloggers, and influencers.

The main goal of this role is to attract active referrers, help them launch successfully, reach their first purchases, and scale their contribution to revenue. This position combines partnerships, community work, growth experimentation, and structured CRM management.

Responsilities

• Identify and attract ambassadors, community leaders, bloggers, and influencers to join the GoMining referral program.
• Work with crypto communities across X (Twitter), YouTube, Telegram, Discord, and other social platforms.
• Communicate directly with partners: onboarding, explaining product value and referral mechanics.
• Guide partners to their first active referrals and purchases.
• Test and validate hypotheses related to partner types, formats, geographies, and acquisition channels.
• Collect feedback from both active and inactive / declined partners to improve the referral program.
• Maintain and update partner pipelines in CRM systems (Monday CRM is a strong plus).
• Collaborate with affiliate managers, marketing, and product teams to scale referral-driven revenue.

Requirements

About the Job

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.

The In Vivo Pharmacology Scientist is responsible for designing, executing, and analyzing preclinical in vivo studies to support drug discovery and development. This role involves leading internal and external teams, supervising operational tasks to support neurology projects in early and late research phases and clearly communicating the in vivo pharmacology plan and results to the project team and relevant decision-making committees

Data Scientist - Consumer Product Optimization

Location: New York City, London (Office)

Compensation: $250K - $300K

We are seeking an experienced, versatile Data Scientist to join our team, which is focused on a fast-paced consumer-facing product within the fintech or equivalent industry. This is a high-autonomy role where you will have the freedom to identify opportunities, design and implement solutions, and measure their impact across our entire product suite.

We value generalists who possess breadth across the data science field and thrive on end-to-end ownership. You will collaborate with cross-functional teams while driving projects independently from conception to completion.

The Data Scientist will be responsible for leveraging data to drive product decisions, optimize user experiences, and uncover strategic opportunities for growth.