Top Data & Analytics Jobs
The Business Analyst will analyze data to provide actionable insights for management, supporting data-driven decision making. Responsibilities include developing visualizations and dashboards, collaborating with teams to enhance the data warehouse, and monitoring KPI trends.
The Principal Development Scientist will apply Atomic Layer Deposition expertise to develop and improve processes for multi-wafer integration, troubleshoot fabrication issues, and lead experiments. They will communicate technical matters and collaborate with management and customers, contributing significantly to R&D efforts in a team-based environment.
The Principal Associate Scientist/Scientist I will perform biophysical and biochemical characterization of candidates including comprehensive protein analytics. Responsibilities encompass developability assessments, data interpretation, technical reporting, assay development, and maintaining high documentation standards. Collaboration with cross-functional teams is essential while managing laboratory operations and equipment maintenance.
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The Data Engineer role at Dynatron Software involves creating and managing data pipelines and ensuring data quality within the company's SaaS and DaaS products. Responsibilities include leading data architecture initiatives using Snowflake, developing ETL processes, collaborating with cross-functional teams, and addressing data quality issues.
As an Associate Scientist I, you'll prepare high-throughput sequencing libraries, conduct DNA sequencing, maintain DNA analyzers, and communicate with customers. You'll utilize your molecular biology knowledge and gain new skills while ensuring quality in a fast-paced NGS laboratory.
As a Research Scientist at CarbonCapture Inc., you will design, synthesize, and optimize novel sorbent materials for CO2 capture, conduct extensive characterization and testing of sorbents, analyze experimental data, and collaborate with cross-functional teams to improve DAC technology, aiming to make a significant impact on climate change.
The Senior Analyst will develop, evaluate, and optimize predictive models for Baseball Operations, collaborating closely with the team to influence player personnel decisions. Responsibilities include designing data pipelines, crafting reports and visualizations, and integrating analytics into team applications.
The Database Engineer will provide expertise in database architecture and design, manage Azure SQL and Postgres environments, optimize performance, and ensure reliable data systems. Responsibilities include troubleshooting, disaster recovery strategy development, and maintaining high availability of database systems.
The Manager, Data Scientist will lead analytics projects, develop machine learning models, and collaborate across departments to drive insights and recommendations. Key responsibilities include formulating data science problems, statistical modeling, and ensuring data quality and governance. This role aims to establish a robust data science foundation within the organization.
The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.
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