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Top Software Data Science Jobs
As a Senior Cloud Engineer at GridMatrix, you will develop and manage data pipelines, optimize cloud infrastructure for cost and performance, collaborate with cross-functional teams, and ensure alignment with enterprise standards. Your role focuses on real-time machine learning implementations and managing secure data storage solutions.
The Sleep Expert will write meditation scripts, record calming audio, and collaborate with the content team to create engaging meditation programs. This role requires research on mindfulness trends and audience needs, alongside editing scripts based on feedback.
The Lead Data Analyst/Scientist will analyze large datasets, create visualizations and reports, develop predictive models, and derive actionable insights to enhance operations for senior living communities. The role involves collaborating with teams to understand data needs and staying updated on data science advancements.
Featured Jobs
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
The Lead Analytic Scientist will work with complex data sets to ensure data quality and build high-end analytic models using statistical methods. Responsibilities include project management, model validations, client interactions, and applying data mining methodologies.
As a Data Scientist at Ascend Analytics, you will collaborate with the SmartBidder team to optimize software solutions and conduct data analysis for renewable energy sources. Responsibilities include prototyping machine learning models, enhancing code efficiency, integrating data sources, and communicating with both technical teams and stakeholders.
The EDI Implementation Analyst II will manage technical system installations, assist clients in accessing services, map data, create documentation, and train users. They will also troubleshoot functionality, document issues, and provide feedback for product improvement, working collaboratively with clients and internal teams.
As a Principal Data Scientist, you'll lead cross-functional teams to innovate AspenTech's Digital Grid Management solutions. This role involves developing machine learning algorithms, collaborating with stakeholders to enhance AI integration, and assessing new technologies for software applications in the energy sector.
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.
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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