Top Remote Data & Analytics Jobs
As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
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The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
As a Senior Software Engineer/Data Scientist in the Autonomy Integration Team, you will analyze autonomous vehicle performance using statistical and machine learning methods, develop insights from large datasets, mentor team members, and establish best practices for data utilization while collaborating with various teams.
The Sr. Data Scientist will develop, implement, and optimize machine learning and generative AI models, focusing on healthcare applications. Responsibilities include model value analysis, data strategy development, data preparation, and production deployment of AI solutions, while mentoring junior data scientists.
Lead the design, development, and improvement of machine learning models for 3D computer vision in an innovative photogrammetry platform. Responsibilities include optimizing ML systems, deploying models, and staying updated on advancements in the field. This role requires hands-on leadership and a solid background in machine learning and computer vision.
The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
The Computational Scientist will develop computational methods for catalysis material design and optimization, leading workflows and collaborating with teams to enhance existing procedures. Responsibilities include preparing reports, supporting business functions, engaging in client research, mentoring junior staff, and collaborating with software engineers.
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