Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are hiring on behalf of our client, an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. They 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, they are looking for a Data Engineer to build the analytics engine that will power their next phase of growth.

The Role

As the Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help them understand their users, optimize their 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

Backend Engineer (Hyperliquid Focus)

Location: Remote (EMEA Region Only) Type: Full-Time

Compensation: €90K - €130K

We are hiring on behalf of our client who are on a mission to simplify multi-chain DeFi for financial institutions, fintechs, and service providers. Their team is building a unified infrastructure layer that provides seamless access to on-chain liquidity across all major blockchains, enabling high-performance same-chain and cross-chain swaps. They are a passionate, remote-first team dedicated to making complex decentralized technologies accessible and building a fairer, more transparent world.

They are looking for a Backend Developer with a deep interest in the Hyperliquid ecosystem to join their engineering team. This is a pure backend role—no frontend or design work is required. You will focus on building the infrastructure that allows them to distribute programmatic trading features (such as TWAP and perps) to the broader DeFi ecosystem.

Location Note: This position is strictly open to candidates currently located in the EMEA region.

What you’ll do:

Data Scientist

Location: New York

On-site | Full-time

Compensation: Competitive

Our client is a high-performance technology development company responsible for the entire technical stack behind the world’s largest and most active digital asset launchpads. Operating at the absolute edge of crypto scale, the systems managed by this organization are defined by ultra-low latency, high throughput, and constant high-concurrency load. This is a mission-critical environment where technical precision is paramount and the impact of every deployment is immediate.

The organization is seeking an experienced, versatile Data Scientist who thrives in an intense, fast-paced setting. This role provides the autonomy to identify high-impact opportunities, design sophisticated analytical solutions, and measure their direct effect on a product used by massive global audiences. Joining this team means entering a high-density talent environment that values first-principles thinking, extreme ownership, and the ability to operate independently within a high-stakes ecosystem.

Key Responsibilities

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