Remote Data Jobs · Dbt

Fetch is looking for a Senior Data Scientist to develop and scale its data science capabilities. This role involves architecting and operationalizing production-ready models that influence Fetch’s product strategy, personalization systems, and business outcomes. The role requires partnering cross-functionally with Product, Engineering, Marketing, and Data Product teams to transform complex datasets into measurable business impact through experimentation, predictive modeling, and data-driven decision-making.

This role will act as the voice of data across tem, acting in a principle capacity without being weighed down by management. Partner with Product, Finance, Marketing, and Customer Success to unlock insights, define metrics, and standardise how data drives decision-making. From analysing feature impact, to sizing new commercial opportunities, to understanding churn and broker performance, your work will shape the future of the product and business.

Shape the future of how businesses and consumers interact, contributing to innovative solutions that provide a unified view of guest transactions across online and offline channels. Work on projects that have the potential to make a lasting impact, designing, implementing, and optimizing robust data workflows that enable both customers and internal teams to make smarter, faster decisions.

As a Business Intelligence (BI) Data Engineer, you will act as the bridge between our complex data and our business domains. You will be responsible for empowering teams with accurate, reliable, and insightful analytical datasets that drive critical business decisions. This is an exciting opportunity for a proactive individual who is eager to work with a modern data stack.

As the foundational Data Engineer for HTS Media, you will own the data infrastructure that powers entire advertising business. Mission is to build a robust, scalable data foundation from the ground up that transforms this raw data into the trusted, high-quality datasets that power advertiser-facing reporting and enable future ML models. You will be responsible for the full lifecycle of data, from building real-time data pipelines to modeling data in our warehouse for analytics and reporting.

The data team turns raw on-chain activity into trustworthy and reusable datasets, and you will sit at the intersection of protocol mechanics, SQL modeling, and transformation tooling. You will work closely with data engineers and product managers to standardize how key on-chain concepts are represented across chains and protocols, so analysts and developers can build reliably on top of them.

Shape the future of AI in influencer marketing. You will build from scratch and improve existing code. Requires expertise in data modeling and warehousing, including dimensional modeling and performance tuning. Design and operate ETL and ELT pipelines with tools like Airflow or Dagster, plus dbt for transformations.

As a Senior Growth Analyst at M-KOPA, you'll turn messy, multi-channel data into clear, trustworthy decisions that grow the business profitably. Your dashboards and models will directly unlock repeat purchase, upgrade conversion, retention and customer lifetime value. You will own the growth measurement framework.

Analyze large, complex datasets (on-chain and off-chain) to derive strategic and product insights. Develop models and dashboards to monitor validator performance, user behavior, and protocol performance. Investigate network economics, user incentives, and staking flows to support growth strategies, research new revenue opportunities. Conduct exploratory and root-cause analysis of ecosystem or performance changes. Build data tools and reporting frameworks to scale internal decision-making. Present insights and data stories clearly to technical and non-technical audiences.

Join our growing Data Team as a Staff Data Scientist, driving the development of cutting-edge data, machine learning, and AI solutions that optimize procurement for enterprise customers. Take ownership of major data science initiatives such as entity resolution, pricing algorithms, demand forecasting, recommendations, and automating workflow decisions, while collaborating with cross-functional teams.