Duties: Implement the set of services needed to release AI and data science models capable of working with terabytes of data. This includes model related features like one time and ongoing automatic model training, deploying, and monitoring models, as well as platform related features such as model repository, feature stores, data access layer; Provide technical leadership for efforts around tooling and infrastructure that enable teams to efficiently complete and maintain data science projects; Work and partner with product delivery teams to fully implement the proof of concept and early product in Visa services and products; Collaborate with research scientists, product owners and architects to deliver the fast-prototyping platform; Champion the innovation across the organizations and industries as an expert in the subject, either by providing consulting or by contributing to technology talks and presentations
Requirements: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience; Experience programming in at least one or more in Java, Python, Scala and Go; Strong understanding of algorithms and data structures; Experience in leading, building and supporting scalable and reliable data solutions, AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.) in an agile manner

Duties: You will be working in the Oncology Biometrics Programming department providing statistical programming support related to the analysis and reporting process at project/study level for the delivery of the statistical programming aspects of clinical development. The scope of work includes, but is not limited to, clinical study report development, regulatory submissions, commercialization, and the scientific utilization of our data for AstraZeneca products. There are many career options that you can pursue for your development and progression
Requirements: Bachelor’s or Master’s (or local equivalent) degree in Mathematics, Statistics, Computer Science, Life or Social Sciences or related field; Ability to pay attention to detail and lead/work on concurrent studies and activities; Excellent verbal and written communication skills and ability to influence team members; Extensive SAS programming expertise to a high level within clinical drug development; Ability to work independently on the assigned programming tasks

Duties: Manage model risk across the model lifecycle including model validation, ongoing monitoring and annual reviews; Independent model validation work, providing effective challenge in regards to mathematical formulation, model assumptions and limitations, calibration, implementation, numerical performance, and business uses; Write high-quality model validation documents in compliance with model risk management policy and procedures, internal audio requirements, and regulatory guidance; Manage stakeholder interaction with model developers and business owners during the model lifecycle; Be ready to assist in the bank interactions with Internal Audit and Regulatory Agencies, as required; Contribute to strategic, cross-functional initiatives within the model risk organization
Requirements: Master’s Degree required, preferably in quantitative field (Mathematics, Statistics, Financial Engineering, Quantitative Finance etc.) with 2 years of experience in model validation; Experience in model validation in one or more of Credit Risk, Market Risk or etrading models; A firm understanding of model risk management regulatory guidance SR 11-7 as it relates to effective model validation practices is expected; Sound knowledge of at least one of the following programming languages; Python or R required

Duties: The Associate Director, Statistical Programming provides leadership, line management and development to a team, offering programming expertise and mentoring. This includes providing statistical programming expertise to support the design and interpretation of clinical studies and development programmes, effective management of initiatives to improve quality and integrity of information interpretation, as well as promotion of best practice and standards to enhance the value and contribution of programming across Respiratory & Immunology(R&I)
Requirements: BSc or post graduate qualification (or local equivalent) in Mathematics, Statistics, Informatics, Computer Science, Life or Social Sciences; Experience of pharma and the life sciences, with a comprehensive understanding of the R&D drug development lifecycleExcellent interpersonal skills; Genuine commitment to drive innovation and improve efficiency; Extensive SAS programming knowledge

Duties: Join a team that works to implement a wide range of machine learning algorithms to deliver value for Pinners and Creators; Prototype through fast iteration to explore and demonstrate opportunities for all of Pinterest’s global Pinners and Creators; Integrate with many other internal engineering teams across Pinterest to support the end-to-end user journeys. Work in dynamic and diverse environments alongside engineering, products and designers. Evangelization across engineering to implement and adopt best practices to simplify our codebase and promote growth
Requirements: 4+ years of software engineering experience; 2+ years of industry experience in machine learning, in particular Deep Learning for Computer Vision using Pytorch framework; Deep understanding of modern architectures of Neural Networks for CV problems; Expertise in Python programming language for building effective pipelines for solving Machine Learning tasks