1 to 6 of 6 Feature Engineering Jobs with Remote Work Options

insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to enhance accuracy. Assist 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 »

United States citizenship 8+ years of experience with at least 4 years of ML-related experience Things we want too Knowledge of data preprocessing, feature engineering, and model evaluation techniques Familiarity with Cloud environments (e.g. AWS, Azure) and offerings Strong analytical and problem-solving abilities Excellent communication and 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 »

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 »