The Senior Data Scientist within the Global Products and Surety team will expand the boundaries of Data Science applications globally, helping incubate new ideas and encouraging innovation across Global Risk Solutions markets. This role involves leveraging the latest Artificial Intelligence (AI) and Machine Learning (ML) methods to drive business value, building in-house AI/ML capabilities, and participating in the end-to-end product cycle.
Seeking a highly motivated and detail-oriented temporary Research Associate to support our work on Women in the Workplace, the largest study of its kind on women in corporate America. You’ll contribute to analyzing quantitative data, translating insights into compelling narratives, and supporting the development of research products that advance equity in the workplace and beyond.
Lead the Data Platform team, playing a pivotal role in Scalable Capital’s data journey. Improve, extend, and automate data platforms, acting as a hands-on staff engineer while mentoring two talented data experts. Serve as the expert for data engineering and platform best practices, empowering data teams and promoting a data-driven culture.
Partner closely with Audit and cross-functional stakeholders to design, implement, and evaluate analytics that assess the effectiveness of controls. Conduct rigorous data validation and QA processes to support internal audits, regulatory exams, and control testing. Build reproducible testing frameworks and metrics dashboards that improve visibility and transparency for audit outcomes.
Undertaking a strategic initiative to modernize its BizTech landscape by migrating from Workday to Oracle HCM Cloud. This migration is a critical component of broader efforts to streamline and enhance HR technology infrastructure, improve data integration and reporting capabilities, and enable more scalable operations across global teams.
Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. Lead development of predictive models and algorithms to improve Service Professional product and operations.
The Senior Analyst will work with the newsroom and audience teams, delivering powerful tools and analyses that unlock insights into audience growth and engagement. They will translate complex data into applicable recommendations that directly influence editorial, product, and overall business strategies. This position involves conducting deep-dive analysis, communicating findings, democratizing data, and proactively identifying opportunities for applying data.
Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s 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.
As a Staff Machine Learning Scientist, you will lead the development of customer-facing, production deployed Machine Learning capabilities within the payments space; requiring a strong understanding of ML development methodology and modern MLOps practices and techniques. Additionally, this role will help inform the technical trajectory of our ML ecosystem and drive excellence in our ML development practices.
A Product & Catalogue Analyst analyzes product performance and guides decisions impacting the product lifecycle. Responsibilities include analyzing market data, tracking product metrics, and providing insights to improve product performance and user experience. The analyst conducts market research, evaluates product launches, and collaborates with cross-functional teams. They also analyze customer feedback, conduct A/B testing, and provide data-driven recommendations.