Top Data & Analytics Jobs

As a Data Engineer, you will build and optimize production-grade data solutions on AWS or GCP, develop scalable ETL pipelines, and manage data storage and transformation routines. You will work closely with the Machine Learning and Data Platform team and engage with both technical and business stakeholders.

The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.

The Scientist will develop and validate bioanalytical methods in genomic analyses to support gene therapy products. This role involves innovation in analytical techniques, troubleshooting, oversight of developments in collaboration with various departments, and ensuring compliance with regulatory standards. The Scientist will also mentor junior staff and contribute to optimizing laboratory processes.

AnaVation seeks a Data Scientist/Data Engineer to support National Security missions. Responsibilities include improving data discoverability, resolving data sharing issues, and developing analytics solutions. Collaborating with partners, the role involves mining datasets, optimizing data processing, and creating predictive models aligned with mission goals.

As a Senior Data Management Consultant, you will guide clients in maximizing their data assets, develop management strategies, ensure data compliance, and maintain data quality. Engage with stakeholders, communicate technical concepts, and support sales efforts related to Snowflake solutions.

As a Senior Consultant in Data & Analytics, you will lead clients in their analytics journey, develop strategies for data preparation, create predictive models, and provide insights through visual analytics and reporting. You will also conduct interviews for gap analysis and design data flows.

As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.