Top Senior Level Data & Analytics Jobs
Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.
As a Lead Data Scientist, you will design and deploy machine learning models using VertexAI to tackle fintech challenges, analyze datasets for insights, and optimize model performance. Responsibilities include building scalable pipelines on Google Cloud, integrating models into production, and collaborating with cross-functional teams.
As a Senior Data Scientist at Webflow, you will analyze user engagement and define success metrics to drive product improvements, develop data pipelines, collaborate on growth opportunities, and enhance user experiences with actionable insights.
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The Senior Credit Risk Analyst will leverage advanced data analytics to optimize credit strategies, develop evaluation frameworks for the credit ecosystem, assist in product pricing strategy, run A/B tests, and collaborate with various teams to enhance credit portfolio performance.
As a Database Engineer at AIR Communities, you will manage and optimize the Azure data and analytics platform, ensuring performance and uptime. Responsibilities include overseeing data pipelines, providing technical support, and maintaining documentation. You will also implement automation and AI tools to enhance operations and participate in capacity planning and compliance audits.
As the Manager of Analytics, you will lead efforts to synthesize various data sources, enhance veterinary outreach experiences, and collaborate with cross-functional teams to develop effective experiment design and insight generation processes.
The Partnerships role at Pinwheel involves pursuing and negotiating data access partnerships with payroll companies and gig platforms, developing strategy for partner engagement, collaborating with product teams to enhance market access, and building strong relationships to maximize data coverage and quality.
The Principal Data Scientist is responsible for building data acquisition pipelines, utilizing various R frameworks for data processing and analysis, implementing data preprocessing techniques, executing machine learning models, generating visualizations, and deploying scalable models within the company’s infrastructure.
As a Senior Data Scientist at Octaura, you will drive the product lifecycle from ideation to deployment, develop advanced machine learning models, build scalable cloud-based infrastructure, collaborate with teams to understand client needs, and communicate insights to stakeholders.
As a Principal Applied Scientist, you will lead the delivery of AI products, collaborate with ML engineers, improve data quality and usability, and engage in public-facing content to enhance Xero's profile. The role requires a focus on creating impactful, customer-facing ML and AI solutions while emphasizing high-quality code from the outset.
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