As a Senior Data Scientist, you will play a pivotal role in transforming our business vision into tangible features and actionable insights through the power of data. Your contributions will significantly influence the user experience, restructuring how our users engage with and derive value from our products. You'll work at the intersection of data science and product development, turning raw data into meaningful insights that drive business success.
Job listings
We are seeking a Director of Data Science to lead the development and integration of AI, machine learning, and data science capabilities across Life360โs diverse product and business domains. This leader will partner with teams spanning core product, user experience, international and domestic growth, ads, marketing, finance, and user acquisition to identify high-impact opportunities where intelligent systems and scientific methods can enhance decision-making and unlock new value.
Lead large, multi-month analytics infrastructure projects. Responsibilities include monitoring and optimizing complex DBT job structures, designing multi-domain marts, developing complex metrics on big datasets using DBT and the DBT semantic layer, building automated data quality monitoring, and creating scalable, self-service analytics infrastructure.
Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potatoโs digital properties. Expected outcomes include standardizing dashboards, resolving reporting inconsistencies, ensuring alignment between financial and operational data, delivering strategic analyses, and improving Looker structures. This role requires analytical rigor, business acumen, strong communication, ownership, and collaboration.
This role is critical in effectively translating analytic output in a client-facing manner, requiring deep knowledge of Komodoโs data and how to position it best, as well as an understanding of various disease states and how the US healthcare system functions. The Analytics Principal will lead the successful design and execution of a presales and MSW analytics strategy tailored to the assigned market.
In this role, you will build data frameworks and systems to optimize product performance, improve user experience, and support strategic decision-making. You will work closely with Product, Engineering, Customer Success, and business teams to assess the impact of products and services, identify opportunities for growth and efficiency, and transform ROI storytelling for the organization.
As the Sr. Manager, Product Analytics at Babylist, you will lead a high-impact team responsible for surfacing insights and enabling data-informed product decisions across the organization. This role is central to how we use data to shape product direction across our major surfaces: Registry, Shopping, Health, and Long-Term Family Support. Youโll report to the VP of Finance and serve as a bridge between Finance and Product.
As an Analytics Engineer at PowerUs, youโll play a key role in strategic decision-making across the company. You wonโt just deliver reports โ youโll help uncover and understand complex problems, make them visible through data, and turn them into actionable recommendations for our business and product teams. This role is a great fit for you if you think analytically, enjoy working with people, and love turning data into decisions.
The Product Data Analyst is responsible for improving the success of the Finanzguru team in the area of Banking Quality & Insights and achieving measurable results. You will work as an integral part of our product team and get to the bottom of the structures and details of our bank data. You will own the logic and implementation of all KPIs of the product team, including the performance of various machine learning models.
Optimize decisions and execution with analyses, partnering with Client Success, Sales, and Partnerships teams. Create business cases, insights, and dashboards to engage Affirmโs merchant base, demonstrating value proposition and product performance. Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution.