Top Remote Data & Analytics Jobs
The Sr. Data Scientist will leverage analytics and machine learning to inform product development, optimize user experiences, and drive key performance metrics. Responsibilities include conducting experiments, analyzing customer usage, developing reporting, and presenting findings to influence data-driven decisions.
The Senior Analyst, Third Party Risk will manage security assessments and contract reviews, improve processes, collaborate with teams, and enhance compliance certifications. They will ensure the company's security posture meets customer requirements and industry standards while maintaining effective communication across departments.
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
The Senior Analyst will lead research study design, apply advanced statistical methods for survey and data analysis, mentor junior analysts, consult with clients on analytic solutions, and support business development initiatives. Responsibilities include project management, effective communication of findings, and overseeing data collection and evaluation efforts.
The Senior Data Analyst (Compliance) collaborates with business users to tailor solutions, creates reports and dashboards, conducts in-depth analyses, addresses data challenges, and champions data technologies to drive strategic decisions in financial compliance.
The Azure Data Engineer will provide technical expertise in developing and supporting data solutions, utilizing tools like Microsoft Fabric and Power BI. Responsibilities include ETL process development, operational data store design, implementing data improvement processes, supporting business intelligence solutions, and collaborating with stakeholders to meet data-related needs.
As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
As a Staff Analytics Engineer at Amplify, you will work within data analytics teams to create data models and metrics, enhance processes, and provide insights for educators. Your responsibilities include building analytical models, ensuring data privacy while analyzing performance, and collaborating with data specialists to enhance data practices.
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