Top Remote Data & Analytics Jobs
As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
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The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
The Data Visualization Specialist will engage with teams to design and build accurate data visualizations from various data sources, aiding decision-making for stakeholders and development teams. Responsibilities include creating new visualizations, fixing data issues, and participating in planning meetings, all while fostering collaboration in a diverse and distributed team.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Senior Bioinformatics Scientist will validate diagnostic products and support FDA submissions, collaborating with multiple teams to analyze genomic data and improve cancer treatment diagnostics. Responsibilities include software tool development, protocol design, statistical analysis, and mentorship of junior staff.
The Lead Marketing Data Scientist will analyze client needs, customize business processes, and develop analytics tools to provide insights into customer acquisition and business performance. Responsibilities include statistical analysis, predictive modeling, and working with large data sets, while collaborating with clients and teams.
The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.
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