Top Remote Data & Analytics Jobs in Pittsburgh, PA
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.
The Senior Unified Communications Analyst will be responsible for resolving Unified Communications user incidents and requests, working with vendor-specific video teleconferencing systems, providing weekly reports, and assisting in the installation of data and voice communications equipment. This role requires a security clearance and full-time on-site support.
The Revenue Operations Analyst at TeamSnap is responsible for developing revenue forecasts, tracking key performance indicators, creating dashboards for stakeholders, and collaborating with sales, marketing, and finance teams to optimize revenue performance. The role involves providing data-driven insights, improving forecasting methodologies, and ensuring alignment on revenue goals.
The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.
Seeking a Quality Assurance Analyst to monitor, evaluate, and provide feedback on customer interactions across various channels to ensure adherence to company standards and enhance team performance. Must have strong communication, analytical, and organizational skills. Remote work environment with a compensation range of $46,000 - $50,000 annually and a comprehensive benefits package included.
The Senior Data Scientist is responsible for performing data analysis and providing quantitative solutions to business problems. This includes developing and implementing prediction and optimization models, maintaining existing mathematical procedures, and supporting internal and external teams. The role also involves mentoring data scientists and communicating findings to both technical and non-technical audiences.
As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.
Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.
The Senior Data Systems Engineer - BI will work closely with clients to develop technology innovation plans and enhancements on a broad range of areas including model-based system engineering, relational data architectures, data modeling, data integration, report/dashboard creation, data analytics platform design, and machine learning/statistical analysis.
The Cloud Cost Analyst plays a pivotal role in supporting cloud modernization initiatives, analyzing and optimizing cloud-related expenses, developing financial reports, and collaborating with various teams to track cloud usage and identify cost-saving opportunities.
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