14 results
FiltersFocus on translating business needs into analytics and interpretation of analytics into business applications. Innovate and build solutions for FM using new technologies. Develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention.
Experian is looking for a Data Scientist to join our Marketplace Decision Optimization team. You will be part of a large, revenue-driving team that operates on an entirely cloud-based analytical platform. You will work with other data scientists and analysts to support data-driven decision-making processes. You will be responsible for data collection, cleaning, and analysis, and developing machine learning models.
As a Senior Data Scientist, you’ll report to the Data Science Manager and work closely with both the Data Science and Engineering teams. You will play a crucial role in developing models for complex parts of our business, analyze large datasets, identify patterns, and develop a variety of model types. You’ll also contribute to the improvement and re-design of current models, collaborating with cross-functional teams to translate insights into actionable solutions.
We are hiring across multiple teams - our Data Scientists are embedded within every major area of Canva — product, business, and operations. We’re a thriving community that partners deeply with stakeholders to make Canva more effective, efficient, and impactful through data. Whether it’s helping teams make better decisions or building scalable experimentation platforms, we’re here to empower every Canvanaut to do their best work.
Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features. Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics. Perform exploratory analyses to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments.
You will work on research, prototype, and productionize generative AI models, developing scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content, while defining best practices for model monitoring and collaborating cross-functionally with product, design, and engineering to integrate models into user-facing applications.
In this role, you will be part of the Recommender Systems group, tasked with delivering personalised product ranking and recommendations to users across the entire Viator product. You will design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives.
As a Senior Data Scientist on Lime’s Rider DSA team, you will play a critical role in helping us understand our riders and uncover the drivers of retention. You’ll focus on experimentation, product analytics, and data deep-dives that surface actionable insights for product and business teams. Partnering with Product, Engineering, and Operations, you’ll help shape strategy on initiatives like early-funnel adoption, second-month retention, and loyalty programs.
You'll play a key role in shaping our products and decisions by working across product, engineering, and commercial teams to ensure data is at the center of everything we do. Mine and analyze large datasets to inform product development, marketing strategies, and business processes. Build predictive models that optimize customer experiences, operational efficiency, and revenue growth.
This pivotal role is designed for an emerging professional with experience and possesses a robust interest in public markets, business dynamics, and sophisticated financial analysis. You will act as the primary quantitative auditor of our proprietary SaaS platform's business estimates and investigate discrepancies between internal forecasts and publicly reported data, impacting core product and client messaging.