Top Data & Analytics Jobs

The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.

As a Data Scientist at Demandbase, you'll contribute to machine learning projects that enhance the B2B buyer journey, analyze large datasets, develop and refine models, and collaborate across teams to integrate insights into workflows. You will present findings to various stakeholders using data visualizations.

As a Senior Staff Data Scientist at Moloco, you will analyze large datasets, develop experiments, and build metrics to measure campaign performance. You'll influence R&D decisions, improve machine learning and bidding systems, and evaluate the health of the ads system, while mentoring junior data scientists.

The AI Solution Manager oversees customer engagement and leads product and business development efforts in the AI/ML sector within the Central and South American markets. This involves collaborating with partners to identify problems solvable through ML, leading cross-functional teams to develop AI solutions, and facilitating communication between technical and business teams.

The AI Solution Manager role focuses on collaborating with Fortune 500 customers to identify and financialize use cases for AI solutions, leading cross-functional teams in developing machine learning applications, and partnering with sales to expand accounts. Requires excellent business acumen and consulting skills.

The AI Solution Manager/Senior AI Solution Manager at C3.ai leads cross-functional teams to identify and resolve enterprise-level problems using AI/ML applications. Responsibilities include collaborating with Fortune 500 companies to scope use cases, developing production-ready solutions, and working alongside sales to expand accounts. The role requires strong analytical, problem-solving, communication skills, and management experience.

As a Staff Applied ML Scientist, you will develop advanced machine learning algorithms to generate insights from large-scale computer networks, specifically focusing on cybersecurity issues. Your role involves utilizing state-of-the-art machine learning and graph learning techniques, fine-tuning LLMs, and building scalable ML products that enhance security policies for users.

The Staff AI Scientist will develop and deploy AI and machine learning methods for analyzing large healthcare datasets. Responsibilities include designing algorithms for automation of clinical tasks, statistical analysis to ensure algorithm accuracy, researching new technologies, and collaborating on innovative AI capabilities.

As a Senior Data Scientist, you will design, implement, and maintain recommendation systems, using machine learning and predictive analytics. You'll collaborate with business stakeholders, optimize models, and communicate complex concepts to non-technical teams while ensuring timely project execution.

As a Senior Data Scientist, you will design, implement, and maintain recommendation systems, utilizing machine learning and predictive analytics. You'll collaborate with business stakeholders to leverage data science for decision-making, optimize models for predictive accuracy, and communicate complex concepts to non-technical audiences.

The Data Wrangler/Analyst 1 at Black Canyon Consulting is responsible for developing plans for project integration, evaluating data science methodologies, conducting analyses for strategic planning, and ensuring compliance with regulations. The role includes technical support for programs and managing administrative tasks while utilizing various software applications.

As a Senior Machine Learning Quality Engineer, you will design and review test automation frameworks, collaborate with ML engineers, establish metrics for quality testing, and improve testing strategies and efficiencies within the team. You will also create comprehensive test plans and enhance existing automation frameworks to ensure the quality of AI/ML models.

In this role, you'll collaborate with the Applied AI Science & Quality Assurance team to improve machine learning models through automation testing. Responsibilities include designing test frameworks, creating test plans, improving metrics collection, and working with both technical and non-technical team members.

As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.

The Senior Manager of Data for Paid Placement will lead a team of data scientists, define data vision and strategy, prioritize projects, and enhance the effectiveness of data science models and algorithms to deliver significant business impact.

As a Senior Data Scientist at Faire, you'll work on developing machine learning models to optimize shipping costs, evaluate retailer creditworthiness, and enhance retailer acquisition through predictive modeling and SEO strategies, collaborating with a skilled team.

The Executive Director of Applied AI/ML will lead a local AI/ML team, set technical vision, manage projects through Agile methodology, and align with cross-functional stakeholders while fostering an inclusive team culture.