This role will involve collaborating closely with cross-functional teams to develop engaging, user-centered design solutions. The ideal candidate is someone with a strong design background who can balance creativity with functionality, delivering polished and intuitive experiences for our users. Analyze large, complex datasets to extract actionable insights and continuous monitoring model performance.
Critical projects will focus on data-driven insights to guide product development and business direction. You'll collaborate with leadership, product, data, and engineering teams to identify, define, and launch strategic and operational data science initiatives to improve Houzz Pro product offerings. You will design product experiments, interpret results, and conduct root cause analysis.
Seeking a skilled lead Data Ops Engineer with expertise in Data Ops or Data Engineering, SQL, system automation, and Python to join our team. Responsibilities include designing the proper data architecture, implementing automation, and be the mentor and leader for the Data & Analytics team. Enjoy remote work with the option to engage at our Deerfield office. This role offers career growth and leadership opportunities.
As the Senior Data Engineer on our team, you will take ownership of designing and scaling the systems and pipelines that power H1’s data platform. This role involves working cross-functionally with engineers, product managers, and stakeholders to deliver high-performance, reliable, and maintainable data solutions. Play a key role in shaping the future of our data infrastructure while mentoring others and driving best practices.
As the Principal Data Scientist, you’ll spearhead our data science initiatives—designing and deploying advanced machine-learning and statistical solutions. You’ll mentor a growing team of data scientists, set the strategic vision for modeling efforts, and ensure our algorithms deliver real business value for Spring & Bond and our clients.
Be a Geospatial Data Scientist with expertise in machine and deep learning for geospatial applications and snow remote sensing as part of the growing Earth Intelligence team. The work involves building applied scientific tools for a number of federal agencies, covering the full project lifecycle. The incumbent will work on multiple projects across federal contracts with agencies including: NASA, NOAA, USGS, and the USACE.
In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and systems to support a wide range of analytics and business intelligence solutions. You will work closely with cross-functional teams including data scientists, analysts, and engineers to provide data solutions that drive key business decisions.
Join our platform engineering team as a Data Engineer, where you will design, build, and maintain data pipelines and infrastructure that power our analytics and product features. This role requires a blend of strategic vision and hands-on technical skills. You will play a key role in shaping the foundation of Prepared’s engineering culture.
The Data Analyst role will turn business data into actionable insights, empowering teams to make smarter, faster decisions through clear analysis and automated reporting. Responsibilities include identifying key metrics, building standardized reports, investigating data inconsistencies, and analyzing data across departments to uncover trends.
Transform, test, deploy, and document data to deliver clean and trustworthy data for analysis to end-users and collaborate with subject matter experts, engineers, and product managers to identify the most elegant and effective data structures. By building the data lakehouse and transforming raw data into meaningful, useful data elements, help bring engineering best practices to the Data team.