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Senior Full Stack Engineer

posted by: spj_bot

Location: Remote (US or Canada)

Compensation: 180,000 - 270,000 (Base Salary) + ISO Options

We are a high-growth, market-leading software company operating in the B2B data space, empowering everyone to take action on their data. We're pioneering a new operational paradigm in marketing by leveraging an AI Decisioning platform that allows non-technical users to set goals and guardrails for personalized customer interactions.

We are seeking a Senior Full Stack Engineer with a strong focus on the front end (70-80% front end, 20-30% back end) to join our fast-moving team. You will be instrumental in developing the intuitive interface that integrates complex machine learning models, unlocking advanced growth and marketing capabilities for our customers.

As a Senior Full Stack Engineer, you will own the end-to-end development of features for a new generation of marketing and growth products, ensuring a seamless and powerful user experience.

Key Responsibilities:

Job Skills

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Member of Technical Staff - Applied ML

posted by: spj_bot

Member of Technical Staff - Applied ML

Location: New York, NY (100% On-site)

Compensation: $175,000 - $300,000 (Base Salary) + Highly Competitive Equity

We are a rapidly growing AI company that has achieved product-market fit by equipping accountants with a team of autonomous AI Agents to tackle real workflows. Backed by world-class investors and experiencing 10x revenue growth in the last five months, we are scaling fast. We are looking for an Applied ML Engineer to take full ownership (Responsible Party, or RP) of end-to-end projects, reasoning, experimenting, and shipping agent systems that get smarter over time.

This is a high-autonomy role for engineers who want to operate like researchers and builders simultaneously. You will have the freedom to scope projects, define success, run experiments, and decide when systems are ready to ship, always designing for clarity and instrumenting deeply.

What you’ll be doing:

Job Skills

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Business Intelligence (BI) Consultant

posted by: spj_bot

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.

We are looking for an experienced Business Intelligence (BI) Consultant to join our team in Beaverton, Oregon. The ideal candidate will have a strong technical background in SQL and Tableau, along with proven experience in the Retail domain. This role requires someone who can translate complex data into meaningful insights that support business growth and strategic decision-making.

Key Responsibilities

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Associate Director - Technology Consulting Data Architect

posted by: spj_bot

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

Job Skills

color information management leadership enterprise applications data warehouse databricks data data data integration data management scalable collected integration on prem GCP data data lakes data modeling management frameworks management master data management architectural pattern data quality engineering services consultants data platform airflow architecture modeling data engineering enterprise information management migration cloud career development platforms cloud collaborate data lake best practices analytics digital transformation stakeholder management innovative adoption data science market research consulting API govern data governance use cases disability machine learning decision metadata tracking snowflake enterprise architecture integrated e blueprints data architecture decision making execute
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Data Quality Lead

posted by: spj_bot

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers. 

What will you be doing?

The Data Quality Lead is responsible to ensure our data pipelines deliver reliable, high-quality, and well-governed data that enable scalable analytics and AI solutions across the enterprise. This role bridges data engineering, governance, and analytics, focusing on building trust in data assets, enforcing quality standards, and enabling secure, governed access to data for business users, data scientists, and machine learning models.

 

Responsibilities

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AI Engineer

posted by: spj_bot

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers. 

What will you be doing?

As an AI Engineer you will help design, build, and deploy advanced artificial intelligence solutions. You will work closely with data scientists, software engineers, and product teams to develop machine learning models, integrate AI capabilities into products, and optimize systems for performance and scalability.

The ideal candidate combines strong technical expertise in machine learning and deep learning with hands-on experience in software engineering and data processing.

Responsibilities

Job Skills

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Manager/Associate Director - Project Manager(Financial Services)

posted by: spj_bot

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 experienced Project Manager – Data Engineering to lead and deliver large-scale data transformation and migration initiatives across Talend, Databricks, and cloud data ecosystems. The role demands a strong blend of technical depth and project delivery leadership, working closely with onshore and offshore teams to ensure timely, high-quality delivery across complex data programs.

RESPONSIBILITIES:

Job Skills

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Senior Data Scientist - Optimization

posted by: spj_bot

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

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 looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

Job Skills

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Technology Partner - Data & Insights Solutions.

posted by: spj_bot

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.

The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.


Requirements

Job Skills

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Machine Learning Engineer (with Vertex AI Experience)

posted by: spj_bot

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

Job Skills

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