Top Data & Analytics Jobs
The Data Engineer will collaborate with researchers to translate trading strategies into data variables, develop scripts for data processing, ensure data accuracy, and optimize data retrieval processes. They will assist with integrating new data sources and provide technical support for data issues.
The job involves leveraging AWS and Snowflake for data engineering responsibilities, focusing on big data solutions and cloud services. The role may also include elements of blockchain technology and artificial intelligence applications.
Responsible for designing, developing, and enhancing AWS data environments, including setting up AWS Data Platform and building scalable Data Lake solutions. The role requires expertise in data engineering and optimizing complex Data Pipelines.
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As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.
The Research Scientist will conduct independent research for a News Platform, focusing on quality evaluation of documents and misinformation detection. Responsibilities include collaborating with product managers, designing experiments, analyzing data, and communicating solutions effectively with cross-functional teams. You will benefit from a fast-paced environment promoting meaningful contributions from day one.
Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.
As a Database Administrator, you will manage, secure, and optimize Azure SQL databases, collaborate with development teams, support production environments, troubleshoot customer issues, and enhance database security and performance.
The Cassandra DBA will design, build, and maintain NoSQL distributed database systems with a focus on Datastax Cassandra, while also managing legacy databases like PostgreSQL and MySQL. The role requires automation skills using Terraform and Ansible, and experience with cloud platforms like Google Cloud or AWS. Responsibilities include implementing large-scale database infrastructures, monitoring performance, and ensuring 24x7 operations with no downtime.
Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.
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