Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. You will clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics. Partner with FP&A and product teams to ensure alignment between financial and operational data. Deliver ad hoc strategic analyses with clear financial or strategic recommendations.
As a Data Scientist, you will be responsible for harvesting insights from a complex array of data, by using data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership.
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.
Work as a Database Manager for our company, supporting the Defense Logistics Agency. This role improves the efficiency of database tools and services, designs and maintains Oracle databases. Enhances scalability and performance, monitors performance and upgrades technologies. It requires U.S. Citizenship and the ability to obtain a SECRET / TOP SECRET Clearance.
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.
Provide oversight development of datasets ,Generate and/or review of SDTM mapping specifications, annotated CRFs, ADaM specifications, define.XML documents and reviewers’ guides per CDISC and FDA specifications and guidelines. Accountable for oversight of statistical programming deliverables for inhouse and outsourced projects.
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.
Focus will be on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders. The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools.
Help improve personalization experiences by integrating and optimizing pioneering generative AI technologies into recommender systems. Join an interdisciplinary team at the forefront of Spotify's technology and help ensure foundational technologies exceed the state of the art, actively redefining the field through published research. You'll participate in groundbreaking research at the intersection of artificial intelligence, machine learning and economics with a focus on large-scale solutions to optimize recommender systems.
In this pivotal role as Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices.