Top Hybrid Senior Level Data & Analytics Jobs
Develop and implement custom GenAI models for various supply chain challenges, manage large datasets, train and evaluate models, deploy models into existing systems, collaborate with cross-functional teams, stay updated on GenAI technologies, and contribute to research and development.
As a Senior Data Scientist, you will lead analytics projects, analyze user behavior, develop KPIs, conduct A/B testing, implement statistical models and machine learning algorithms, and collaborate with cross-functional teams to drive business impact and growth.
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.
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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.
As a Senior Research Scientist at Kensho, you will develop innovative solutions in Machine Learning and NLP, focusing on complex tasks like long-context QA and document extraction. Collaborate with a team to enhance existing models, create evaluation benchmarks, and engage in academic partnerships, all while utilizing advanced computational resources.
The Staff Data Scientist in Marketing will create reporting to understand consumer behavior and engagement, collaborate on measurement best practices for performance media, and deliver insights across the customer journey while managing data integration and campaign optimization efforts.
As a Lead Data Analyst, you will direct data-driven strategies to enhance member experiences, support growth through actionable insights, and lead cross-functional data initiatives. Your role involves advanced analytics, mentoring junior analysts, and communicating complex data insights clearly to stakeholders.
As a Senior Data Engineer, you will focus on building data infrastructure, managing ETL pipelines, collaborating with analysts, maintaining databases, and implementing process improvements. You will lead the development of data services and stay updated with cloud technologies to enhance data handling across the company.
The Director of Data Strategy and Analytics will lead the strategy and analytics function to empower Sales, Marketing, and Customer Success by developing data-driven insights and performance management systems. Responsibilities include building analytics capabilities, managing a team of analysts, and conducting complex analyses for strategic decision-making.
As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.
Top hybrid Companies Hiring Data + Analytics Roles
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