Top Remote Senior Level Data & Analytics Jobs in Dallas, TX

Analyzing Cost of Revenue (COR) related expense variances, leading audit projects, resolving disputes, and developing reporting efficiencies in the Telco Audit department.

Seeking an experienced Senior Analytics Engineer to build and activate company-wide data assets using Snowflake. Responsibilities include data modeling, metrics development, and enabling self-service analytics solutions. Must have 5+ years of relevant industry experience and expertise in SQL, Python, and data engineering tools.

The Quantitative Risk Analyst Lead will perform advanced data and statistical analysis, focusing on model creation and validation for Fair Lending compliance. Responsibilities include leading analysts, mentoring junior staff, analyzing large datasets, and presenting findings to management while adhering to regulatory standards.

The Senior Billing Operations Analyst will handle billing processes for Enterprise customers, manage customer relationships, provide direction on invoicing issues, and participate in month-end close activities. They will also serve as a subject matter expert in billing technologies and support various finance functions in the organization.

The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.

The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.

As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.