About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, a diversified shipping services group with offices in London and Athens. Our main product, The Signal Ocean Platform, allows ship charterers, brokers and owners to securely process, combine and analyse complex arrays of private and public shipping data. Powered by sophisticated machine learning / artificial intelligence technologies, the platform delivers customized, exclusive insights that help our clients achieve performance and efficiency.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We're looking for a Back-End Engineer with experience in C#, someone who is curious, proactive, and passionate about building high-quality digital solutions. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Technology Stack

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

Description

Tiger Analytics is a fast-growing AI and advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and Big Data. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. We are working to build one of the best analytics consulting company in the world. Our business value and leadership has been recognized by various market research firms including Forrester and Gartner.

We are looking for a hands-on recruiting Manager with experience handling end-to-end recruiting in a consulting environment. Our recruiting team is considered one of the most important functions within the organization as recruiters are the key to successful organizational growth. You will have the opportunity to hire consultants for key cutting-edge jobs in data science, AI, machine learning and analytics. Growth opportunities include building a talent team and owning the recruiting activity for a line of business or entire vertical. This position offers the flexibility to work remotely.

Responsibilities

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 Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management. You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business and cross-functional teams, you will translate hypotheses into robust analytical models, validate outcomes with statistical rigor, and clearly communicate results to drive data-backed decision-making and measurable business value.

Key Responsibilities

Tiger Analytics is looking for experienced Agentic AI Lead/Architect with Gen AI experience 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.

Requirements

We are looking for a Lead/Architect who can define the Agentic AI architecture on Azure, guide solution design, and still be close enough to the code to review and prototype. This person will partner with business and technology stakeholders to design scalable AI agent platforms on Azure AI Foundry.

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 experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries.

Key Responsibilities

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 also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking a highly skilled and experienced Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering (MLE). The ideal candidate will have a proven track record in designing, implementing, and deploying large-scale recommendation solutions, while also leading projects and mentoring teams. This role requires technical depth, hands-on coding, and the ability to engage directly with clients and stakeholders .

Key Responsibilities

Tiger Analytics is a fast-growing AI and advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and Big Data. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. We are working to build one of the best analytics consulting company in the world. Our business value and leadership has been recognized by various market research firms including Forrester and Gartner.

We are looking for a recruiter with experience handling end-to-end recruiting in data science and advanced analytics. Our recruiting team is considered one of the most important functions within the organization as recruiters are the key to successful organizational growth. You will have the opportunity to hire consultants for key cutting-edge jobs in data science, AI, machine learning and analytics. Growth opportunities include building a talent team and owning the recruiting activity for a line of business or entire vertical. This position offers the flexibility to work remotely.

Responsibilities

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 Lead Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management, and leadership. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. 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 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 Principal Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management, and leadership. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. 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