Top Remote Data & Analytics Jobs
The Data Scientist will lead the growth of data science capabilities, drive statistical modeling, optimize user classification systems, create lead scoring models, and collaborate with engineers and product managers to turn insights into automated services.
As a Senior Causal Inference Data Scientist at Discord, you will provide statistical expertise in the rebuilding of the experimentation platform, collaborate with engineering and product teams to enhance experimentation reliability, and educate cross-functional teams on causal inference methodologies. You will also lead causal inference research and empower the wider Data Science team.
As a Data Scientist II, you will analyze large healthcare datasets, build and optimize machine learning models, and develop algorithms for workflow optimization. You'll collaborate with engineers and product managers, communicate insights through visualizations, and contribute to innovative solutions that enhance operational intelligence in healthcare revenue cycle management.
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The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
The Staff Software Engineer will design and implement data processing pipelines for computer vision solutions in satellite imagery analytics, participate in the project lifecycle from development to deployment, and lead MLOps and data ETL projects. They will collaborate on technical strategies and maintain high production-quality code.
As a Senior Data Scientist, you will lead the development and deployment of machine learning models, mentor junior data scientists, and collaborate with various business teams. You will design data products, ensure model quality, and promote good practices within the data team.
Conduct experimental studies in natural language processing and machine learning, develop dark web monitoring tools, help transition research models to production, and publish findings in top conferences. Collaborate with teammates and propose innovative ML models to enhance products.
In this role, you will collaborate with stakeholders to leverage data for insights and systems improvement, stay updated on data science techniques, design effective experiments, and work on machine learning algorithms. You will also interact with data engineers to develop robust data pipelines and create tools that facilitate data access and visualization.
As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.
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