5 Permanent Feature Engineering Jobs with Hybrid or WFH Options

positioned to help shape the future of streaming. Continued success relies on building customer relationships with Roku that delight and engages them. The Marketing Engineering team at Roku is focused on building the right products and services that help us provide the right communication to the right customers at … ll be doing ML-Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your more »

probabilistic cyber risk model for the (re)insurance and financial services markets. Define and implement a globally consistent best practice process for data validation, feature selection, and modeling of catastrophe exposures. Lead best practices to design and extend an agile and flexible modeling framework. Developing and implementing methodologies to … analytics point of contact and collaborate directly with clients and cli facing teams Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models … and interpretability 5+ years of experience in catastrophe risk Modeling, Applied Statistics, Probability theory, Monte Carlo methods for uncertainty quantification and propagation, GLMs applications, feature engineering, data visualization, and hypotheses testing True passion for leading, inspiring, mentoring, and attracting world-class colleagues Experience working with different types of more »

new approach. Diversity is essential to great data teams; we want to hear from candidates from a range of backgrounds and experiences across data engineering, or those looking to refocus. Skills and experience we’re looking for: Proven track record productionising data pipelines at scale Hands-on experience or … understanding of: Python, Spark (e.g., PySpark, Spark tuning, Spark UI); Data Engineering technologies and principles (e.g., Data Lakes, Batch/Streaming); Cloud technologies and principles (e.g., Kubernetes, EMR, S3) Understanding of ML principles (e.g., feature engineering, training/testing, hyperparameters, deep learning, model management) Agile mindset and more »

Ability to analyse and manipulate large datasets Solid understanding of digital signal processing, specifically related to audio and music. Knowledge of data preprocessing and feature engineering techniques Experience with machine learning frameworks and libraries Ability to work independently and collaboratively in a remote setting A good working knowledge more »

Our data scientists will be a part of the Intelligent Systems based in London but will work closely and collaborate with global product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative … quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world data querying, manipulation, and feature engineering. Familiarity with cloud technologies. Strong attention to detail and ability to work independently with given direction. Efficient time and task management skills. Entrepreneurial … mindset and a can-do attitude. Passion for software development and engineering. Ability to collaborate in interdisciplinary teams of product, engineering, business, and technology experts. Desired skills Excellent communication skills with the ability to effectively engage with diverse stakeholders. Experience in a consumer-oriented, product-focused, or eCommerce business. more »