Data operations expertise at the forefront of our organization is a steadfast commitment to data excellence, characterized by the timely delivery of precise information to both internal stakeholders and external partners. we continually enhance and refine all aspects of our data solutions, serving as the central nexus within our diverse cross-functional team. this collaborative environment fosters a culture of innovation, ensuring seamless alignment between commercial goals and technical capabilities. key responsibilities: - data solution design: utilizing our complex data pipeline to create comprehensive solutions that guarantee accurate and timely data delivery to both internal and external parties. - quality assurance: solely responsible for the qa process, ensuring consistent delivery of reliable and accurate data across various channels. - efficiency enhancements: developing efficiencies throughout the data pipeline to ensure predictable, accurate, and timely delivery of data to internal and external stakeholders. - collaboration and strategic decision-making: proactively engaging with the commercial team and customers to identify high-impact strategic opportunities enabled by antenna data. - customer insights: partnering with the commercial team to understand customer utilization of antenna data for critical business decision-making, designing and building high-quality data solutions with minimal friction. - product updates: ensuring rapid product updates are aligned with technical and commercial teams. about our organization: as the leading provider of data and ...
Unlock new opportunities as a data scientist and drive innovation with our team. advanced data expert (mid and senior levels) - you will play a key role in shaping microsoft's copilot service, empowering personalized experiences for millions of users across the globe. - as part of our collaborative team, you will work closely with software engineers, product managers, and researchers to design, implement, and evaluate models that adapt and improve based on user feedback. key responsibilities include: - developing and evaluating machine learning models using prepared datasets, customer insights, and novel algorithms for language models. - writing production-quality code, applying debugging best practices, and staying current with industry advancements. - aligning with business objectives by managing stakeholder expectations and driving customer-centric solutions. - collaborating cross-functionally to define success metrics and enhance ai quality at scale. essential qualifications include: - a bachelor's degree in statistics, econometrics, computer science, or a related field. - 4+ years of experience in predictive analytics, statistics, or research. - experience with synthetic data generation and data management for evaluation/training purposes. - at least one year of experience publishing patents or peer-reviewed papers....
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