Top Data & Analytics Jobs

As a Machine Learning Engineer, you will frame, develop, and deploy machine learning models to assess risk for various businesses using structured and unstructured data. The role emphasizes ownership of projects and collaboration with product management and software engineers in a sprint-based environment.

The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to analyze risks for various businesses, utilizing both structured and unstructured data. The role requires close collaboration with Product Management and Software Engineers in an agile environment, with a focus on delivering actionable insights.

The Senior Machine Learning Engineer will lead the framing, development, and deployment of machine learning models at scale, focusing on understanding the risk of various classes of businesses. They will turn structured and unstructured data into actionable insights, working collaboratively in sprints with Product Management and Software Engineers.

The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks associated with various businesses. Responsibilities include converting structured and unstructured data into actionable insights and working closely with product management and software engineers in a sprint-based environment.

As part of the Sponsored Advertising team at Chewy, you will lead machine learning initiatives to enhance product search and ad relevance, collaborating with product leaders to develop and deploy models that improve user engagement and vendor visibility. Responsibilities include building predictive models and sharing insights with leadership.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risks. Responsibilities include processing large datasets and collaborating with product and software teams to drive project direction.

As a Senior Technical Sourcer for Machine Learning at Snap, you will be responsible for sourcing, screening, and engaging candidates for machine learning roles. You will work with recruiters and hiring managers to understand hiring needs, develop sourcing strategies, and enhance the candidate experience, all while managing data and hiring metrics.

As a Senior Technical Sourcer for Snap's Machine Learning Recruiting Team, you'll identify, source, and screen candidates for machine learning roles. You'll work with recruiters and hiring managers, develop strategies for a robust candidate pipeline, use hiring metrics for efficiency, and provide a positive candidate experience.

The Machine Learning Engineer will frame, develop, and deploy machine learning models at scale, analyzing structured and unstructured data to derive insights about business risks. Responsibilities include collaborating with Product Management and Software Engineers within a two-week sprint framework, while maintaining full project ownership.

As a Machine Learning Engineering Manager, you'll lead development of models and evaluation for user and content understanding, enhance ranking models for ads and growth, and oversee the architecture of the embedding platform, ensuring quality and scalability. You'll mentor your team while collaborating with stakeholders and driving technical excellence through code reviews.

The Software Engineer will work on Machine Learning Infrastructure, focusing on building innovative solutions that enhance Snap's core products and support the development of augmented reality experiences.

The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.

As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to analyze business risk. This role involves transforming large data sets into insights, guiding project direction, and collaborating with Product Management and Software Engineers in a sprint-based environment.

Kalepa seeks a Senior Machine Learning Engineer to lead the development and deployment of machine learning models, extracting insights from diverse data sources. Responsibilities include framing project direction and maintaining focus in collaboration with Product Management and Software Engineers in a two-week sprint cycle.

The Machine Learning Engineering Manager will lead a team to develop algorithms for user and content understanding, drive infrastructure for machine learning, and collaborate with ranking teams to enhance ad and content relevance. Responsibilities include overseeing architecture, performing code reviews, and fostering team collaboration.

Lead a team of engineers in developing a personalized video recommendation engine. Define the architecture for scalability and performance, conduct A/B testing, and improve the recommendation system through technical reviews and team mentorship.

Lead the technical direction of the Ad Ranking team at Snap, focusing on advancing ML capabilities for ad optimization. Design and scale machine learning models, collaborate with cross-functional teams, and stay current with ML technologies to solve complex advertising-related problems.