Top Remote Entry Level Data & Analytics Jobs
The Senior Software Engineer, Big Data, is responsible for building data processing and exploration pipelines, developing ML infrastructure, and taking part in the full life cycle of applications at scale. The role requires a strong understanding of big data technologies and involves collaborating across functional teams to create effective data-driven applications.
As a Staff Data Scientist at Bitsight, you will develop and implement statistical methodologies for analyzing cyber risk and loss, collaborating with various teams. Responsibilities include enhancing data pipelines, creating automated testing frameworks, managing codebases, and producing technical content, while focusing on operationalizing statistical models.
As a Product Growth Analyst, you will analyze user acquisition and onboarding flows, collaborate on defining KPIs, create reports and dashboards, contribute to data efforts, conduct A/B testing, and work closely with stakeholders to optimize product growth.
As a Financial Data Analyst, you will manage the company's revenue metrics, optimize data-driven decision-making, develop data analysis frameworks, and oversee financial dashboards. The role requires strong project management and analytical skills to support finance-related reporting and data hygiene across tools.
As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
The Risk Analyst will assess and analyze fraudulent activities, oversee operational quality assurance, engage stakeholders through reporting, collaborate cross-functionally, and monitor suspicious transactions using internal tools.
As a Contract Gameplay Analyst at Bungie, you will evaluate gameplay experiences, provide evidence-based feedback, and collaborate with various disciplines to ensure engaging gaming mechanics. You'll represent player perspectives by analyzing FPS gameplay and delivering actionable insights during playtests.
The Data Quality Analyst will execute and troubleshoot DQ checks, collaborate with developers, monitor Docker environments, facilitate DQ meetings, maintain documentation, and resolve data migration issues for the Department of Veterans Affairs.
The Data Engineer II will design and maintain the data warehouse, focusing on ETL processes and data architecture. They will collaborate with various teams to gather data requirements, support data analysis, and develop reporting mechanisms. This role demands proficiency in big data tools and analytical skills to create efficient data solutions.
As an Applied Scientist, you will drive the development of Reinforcement Learning models, collaborating with interdisciplinary teams to optimize models that provide actionable insights. You'll implement innovative algorithms and communicate complex technical concepts effectively to various stakeholders.
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