Top Data & Analytics Jobs
Conduct end-to-end data analysis, prototype analysis pipelines, translate clinical requirements into technical solutions, develop ML models, and optimize core products at ViFiVE.
Pivotal role in designing, implementing, and managing robust database systems to support data-driven decision-making processes. Responsibilities include database design and management, ETL processes, cloud services management, data integration and warehousing, performance tuning and optimization, and data security and compliance.
The Senior Data Scientist will lead advanced analytics and experimentation projects to solve business problems, design and apply machine learning models, collaborate with stakeholders, and mentor team members in a quantitative role that emphasizes technical leadership.
Featured Jobs
Looking for a Data Engineer to expand and optimize data pipeline architecture, support data initiatives, and ensure optimal data delivery. Responsibilities include designing and developing data pipelines, improving internal processes, integrating data sources, and writing maintainable code. Requires 2-4 years of Data Engineering experience with strong skills in Python, SQL, Parquet, Spark, Azure Databricks, and Data Warehousing techniques. Experience with ETL/ELT processes, BI visualization tools, CI/CD tools, and cloud infrastructure preferred.
The Senior Analyst, FP&A will support the FP&A team with relevant analysis and reporting. Responsibilities include preparing financial reports, conducting ad-hoc analyses, and collaborating with team leaders to analyze financial performance. The ideal candidate should have extensive finance or business operations experience, FP&A expertise, and the ability to establish and improve processes.
Data Engineer III role at Cars Commerce focusing on building scalable data platforms and systems, developing data-driven products, and collaborating with cross-functional teams.
Seeking a Principal Applied Scientist to lead recommendation and personalization systems using generative AI. Responsibilities include developing recommender systems, innovating in model optimization, and setting technical direction. Requires over 5 years of industry experience and expertise in machine learning frameworks like PyTorch.
Responsible for RDBMS database management, performance tuning, data monitoring, installation, and testing. Conduct database design, coding, maintenance, and provide technical support. Oversee database high availability, backup, recovery, and routine maintenance. Requires strong analytical and troubleshooting skills, proficiency in database administration, tuning, and design. Must work non-standard hours to resolve production issues. Reports to IT Manager of Database Administrators.
As an Analytics Engineer at Redox, you will be responsible for developing and evolving the analytics infrastructure to drive the organization's decision-making and growth. This includes managing data ingestion, warehousing, transformation, and analysis processes, building data marts, and engaging with business stakeholders.
Building data pipelines, text analysis algorithms, and decision-making engines. Optimizing data-intensive applications and implementing machine learning pipelines. Working with Spark, S3, Timescale, Python, and Rust. Experience in building and deploying data applications is required.
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