A Place for Mom is looking for a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to develop and optimize our machine learning models and algorithms.
As a member of our Data AI/ML team, you'll be at the forefront of our AI & Machine Learning initiatives. This is your chance to empower our product, business and engineering teams to leverage AI on a daily basis. You'll play a pivotal role in enhancing Zapier’s machine learning & AI tooling capabilities and influencing the way we build products using these tools. Your expertise will provide invaluable technical mentorship and assistance in scaling our use of AI/ML across the company.
Transform data into strategic insight as a Senior Data Engineer at Platform.sh. Design and implement scalable data pipelines and models, directly supporting decision-making across product, marketing, finance, and customer success. Apply engineering rigor to turn complex, fragmented data into accessible, trusted assets. You will work in a globally distributed team of data and analytics engineers, constantly learning and evolving.
Design, develop, and deploy machine learning models that optimize pricing for thousands of products daily. Own the full ML pipeline—data wrangling, feature engineering, model development, deployment, monitoring, and continuous improvement. Partner with e-commerce experts to understand key drivers of revenue, conversion, and pricing dynamics.
Analysis of IT solutions within the entire service reporting environment by conducting interviews with architects, data engineers, and software developers. You will analyze the contents of existing databases (>100) and their interfaces with each other and other source systems. This includes creating suitable models that describe databases, information flows, and data products, as well as their relationships. Deriving concrete measures will harmonize and reduce the complexity of existing IT solutions.
Take a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla. Serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice. Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.
Colleague will support development team that implements various use cases around the data analytics platform Elasticsearch. Data analytics use case implementation, automation, maintaining our own services. T-SP is responsible for the technical CORE service portfolio of Deutsche Telekom. We invest in a better customer experience, sufficient capacity, stable performance and higher efficiency.
Contributing to the delivery of scalable data architectures, and data product development & design best practices. Leading collaborations across data disciplines to develop, optimise and maintain data pipelines and solutions. Skilled at distilling business and analytics requirements into well-defined engineering problems.
Looking for a Sr Manager of Data Analytics and Engineering to join the Data team. This person will manage a team of analytics engineers/data analysts, while working closely with product managers, and software engineers to support data product launches and data roadmaps. The ideal candidate will have data infrastructure and data architecture skills, a proven track record of leading and scaling data teams.
We are seeking a Data Engineer to help build and maintain a robust, trustworthy, and well-documented data platform, developing and maintaining data pipelines, implementing monitoring and alerting systems, establishing data quality checks, and ensuring that data structures and documentation stay up to date and aligned with business needs.