Be directly responsible for the performance of enterprise merchants. Research real-time fraud patterns with our Risk Intelligence team. Deploy fraud-fighting rules and model threshold adjustments to combat fraud in real-time. Improve the important components of the Signifyd Commerce Protection Platform. Communicate complex ideas to a variety of audiences, including executives. Contribute to building production machine learning models that identify fraud.
Build production machine learning models that identify fraud, write production and offline analytical code in Python and work with distributed data pipelines. You will communicate complex ideas effectively to a variety of audiences and collaborate with engineering teams to strengthen our machine-learning platform.
The Infrastructure Data Analytics function is an innovative program designed to promote data-driven decision-making and address advanced technology challenges for AbbVie employees. As an Sr. IT Business Data Analyst, you'll explore, analyze, and visualize complex data from diverse sources to identify issues and trends that drive transformation across our global technical landscape. You'll work closely with system owners and business stakeholders to identify areas for improvement.
We are looking for an exceptional Senior Data Scientist to join our growing team to help design and build cutting-edge machine learning products that empower data-driven decisions and enhance our customer experience. You'll thrive in a fast-paced, collaborative environment that values experimentation, innovation, and agility.
Swish Analytics is hiring a Tennis Data Scientist to join our ever-growing team, as Data Science is at the core of the business. The team has true ownership and impact over developing core components of Swish's data products by ideating, developing and improving machine learning and statistical models that drive Swish’s core algorithms. They will develop contextualized feature sets using sports specific domain knowledge.
Be directly responsible for the performance of enterprise merchants with household names. Research real-time new fraud patterns with our Risk Intelligence team. Improve the important components of the Signifyd Commerce Protection Platform.
Wealthsimple is seeking an experienced data scientist to focus on crypto products, contributing to democratizing access to cryptocurrency and empowering Canadians on their journey to financial freedom. You'll analyze user behavior, optimize product performance, and shape the future of cryptocurrency within a dynamic and fast-growing environment.
You’ll work closely with the Product and Engineering in an agile product environment. You’ll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in customer demand insights & help assistance. You’ll help your team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts.
Lead and manage a dynamic team of data scientists, overseeing the team's sprints, workload reviews, OKR and goal setting, and regular career planning.
Align Data Science initiatives with the company’s strategic direction and ensure delivery of our strategic goals.
This role is based mainly remotely with some travel to our Oxford based office.
Your Master thesis aims to assess the efficacy of LLM-based rerankers for patent retrieval. You will research state-of-the-art methods from the literature and analyze their performance in the context of patent data. You will implement computational experiments to identify advantages over prior methods, as well as areas for improvement and develop novel approaches to address identified limitations.