Top Data & Analytics Jobs
The Senior Data Architect designs and maintains data architecture and models for various integration projects, ensuring data quality and governance. Responsibilities include optimizing ETL processes, mentoring junior architects, and providing end-user training for the EDW.
Lead the integration of human genetics data with phenotypic and omic data for target discovery in therapeutic areas. Collaborate with multidisciplinary teams and contribute to insitro's long-term therapeutic strategy. Apply cutting-edge machine learning and statistical genetics techniques to advance therapeutic programs.
The Data Administrator at Xome will be responsible for conceptual data modeling, data stewardship program, logical data modeling, physical data modeling, and stakeholder engagement. They will collaborate with business areas to develop data models, address data issues, design logical data models, and generate DDL for database administration.
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The ML Research Scientist role involves developing and optimizing machine learning techniques for scene retrieval and search, working with large data sets for effective application in autonomous driving systems. Key responsibilities include building efficient ML data pipelines, applying advanced deep retrieval techniques, and collaborating with teams to deploy solutions that enhance the NuroDriver's performance.
As a Senior/Staff ML Research Scientist at Nuro, you will research and develop advanced machine learning techniques to enhance scene retrieval and search capabilities for autonomous driving systems. In this role, you'll create ML data pipelines, collaborate with infrastructure teams, and implement innovative solutions while maintaining a focus on practical applications for real-world impact.
Seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. Responsibilities include data integration, quality assurance, and exploring new technologies. Requires 5+ years of data engineering experience, proficiency in Azure services, Python scripting expertise, and strong communication skills.
As the Manager of Data Science, you will lead a team of data scientists, manage data-driven projects from inception to deployment, and collaborate with cross-functional partners to address business challenges through advanced analytics and optimization techniques. You will oversee experiment design and ensure alignment with business goals while staying updated on industry trends.
The Staff Scientist will focus on driving business growth through new product development, process development, and application development. Responsibilities include developing knowledge of filtration and adsorbents, collaborating with quality and manufacturing teams, optimizing production processes, managing customer relationships, and leading validation trials.
The Group Master Data Architect is responsible for designing, creating, deploying, and managing an organization's master data architecture and associated business rules. They collaborate with business stakeholders and technical teams to ensure the master data architecture meets the organization's needs. Key tasks include designing MDM solutions, deploying and maintaining master data model, aligning with BI roadmap, and promoting data governance initiative.
This Data Engineer position involves leading technical efforts to enable data analytics for Blue Cross and Blue Shield of Minnesota. Responsibilities include developing data integration solutions, designing data architecture, collaborating with cross-functional teams, and enhancing existing processes. The role requires analyzing test results and executing user story development, ultimately supporting business analytical enablement.
Growth Data Scientist role at Quizlet focusing on driving business insights through data, developing analytical frameworks, and working closely with Product, Engineering, and Design teams to drive user growth. Responsible for A/B testing, analyzing user behavior, and informing product roadmap and strategy using data science techniques.
Lead and manage a team of data engineers to develop innovative data solutions, optimize data pipelines, and drive business insights. Collaborate with cross-functional teams to ensure data engineering efforts align with company goals. Oversee migration to modern cloud-based infrastructure and foster a culture of continuous improvement.
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