As part of the Digital Product Management team, you will develop robust, modern, scalable data products together with the business partners including state-of-the-art solution components, acting as a link between the business unit and data modeling and data engineering.
Job listings
Looking for a Data Scientist/Senior DS to join the growing Data Science team and support the development of personalization models and infrastructure. This role is ideal for a highly curious, analytical thinker with strong technical foundations whoβs excited to work on impactful projects from day one.
Be the analytical engine behind data-driven decision-making at Rula. Partner with teammates across the company, including Data Engineering, Finance, Partnerships, Customer Support, and Clinical Operations, to take ownership of generating insights and recommendations that shape strategy for various teams using data. Translate broad questions into actionable research and discovery plans, perform proactive data exploration to identify actionable insights, and communicate results in a compelling manner.
As a Senior Data Analyst, youβll leverage onβchain data to power growth, product and research initiatives across the Uniswap and Unichain ecosystems. You thrive in ambiguity, enjoy translating complex DeFi mechanics into actionable insights, and excel at collaborating with small, crossβfunctional teams.
As a Senior Data Scientist, you will practice full-stack data science, find patterns in data, and hone your technical skills. You'll apply expertise in quantitative analysis, statistical modeling, and data visualization to understand how the worldwide community experiences our products. This role will drive the analytical backbone of Mozillaβs revenue optimization and business development efforts, delivering advanced forecasting models and monitoring business KPIs.
As a Senior Research Data Scientist, you will have end-to-end ownership of custom models, heuristics, algorithms, and other data products that feed directly into TRMβs UX; you'll uncover valuable information to detect, prevent, and mitigate cryptocurrency fraud and financial crime in collaboration with a team of engineers, data scientists, and research scientists.