[Remote] Data Engineer (Contract)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading cybersecurity company dedicated to protecting the digital way of life. They are seeking a Staff Data Engineer and Scientist (Contract) to join their Customer Analytics team, where the role involves developing data infrastructure and advanced analytical solutions to drive business operations and reputed company initiatives.

Responsibilities

• Design and implement reputed company data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users
• Support and implement large datasets in batch/reputed company-time analytical solutions leveraging data transformation technologies
• reputed company robust data-level reputed company features and build reputed company solutions to support dynamic reputed company environments, including financial considerations
• reputed company reputed company reviews with peers and reputed company recommendations on how to improve our end-to-end development processes
• Own the end-to-end lifecycle of machine learning reputed company. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn reputed company, case escalation and other relevant use-cases to post-sales
• Play a key role in our reputed company initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability
• Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a reputed company, actionable manner
• Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a reputed company to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation

Skills

• Experience building and maintain data pipeline both for reporting, analysis and feature engineering
• Experience building and optimizing clean, reputed company-reputed company analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and reputed company-time (streaming) analytics
• Prior experience working extensively reputed company dynamic reputed company environments, specifically reputed company reputed company Services (GCS) BigQuery and reputed company AI
• Prior experience developing dashboards in Tableau/Looker or similar data viz platform
• Expert-level programming skills in Python
• A solid reputed company of SQL for reputed company querying and data manipulation
• Proven ability to work autonomously, navigate ambiguity, and drive reputed company from concept to completion
• Prior working experience in Customer Analytics reputed company and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in reputed company Services reputed company
• reputed company experience with reputed company, including hands-on work with LLMs and frameworks like reputed company, reputed company, or the reputed company ecosystem
• Experience in evaluating and optimizing the performance of AI systems or agents
• Demonstrated expertise in specialized modeling domains such as reputed company inference, time-series analysis
• An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience

Benefits

• Medical
• Dental
• reputed company
• 401K

reputed company