Top Hybrid Senior Level Data & Analytics Jobs
Looking for an experienced Senior Manager, Data Engineering to lead core data integration teams in developing, maintaining, and operating services that connect to healthcare data networks. Responsible for setting clear goals, guiding strategic direction, improving engineering practices, and providing hands-on technical guidance. Must have experience in dynamic environments and a strong technical proficiency in data integration technologies.
Senior/Staff Data Scientist - Collision Avoidance System
As a Senior Software Engineer at Mashgin, you will leverage your expertise in machine learning and computer vision to design and implement deep learning algorithms. You will focus on solving real-world problems, develop innovative data collection methods, and transition research into production-ready solutions collaboratively with a small team.
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The Senior Data Observability Engineer will lead the observability initiatives at Cherre, enhancing data observability capabilities and ensuring data health and performance for clients. Responsibilities include developing observability frameworks, mentoring teams, creating metrics and dashboards, investigating data incidents, assessing client data needs, and adopting new technologies.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
As a Software Engineer, Data, you will build core data infrastructure for acquiring, preprocessing, cleaning, and labeling multimodal datasets for model training, enhancing the quality of the models. You'll be leading teams, managing projects, and working closely with data vendors to improve video understanding systems.
Seeking a Product and Business Analyst to support Credlens' mission by driving research, analysis, and strategy development. Responsibilities include data partner evaluation, ecosystem partner identification, policy research, market analysis, product development support, stakeholder communication, and strategic insights.
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