Top Remote Data Engineer Jobs in Tulsa, OK
As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving data services for AI and ML solutions, supporting the engineering team, and providing excellent customer support. You will troubleshoot data requests, understand the platform architecture, and ensure issues are resolved in a timely manner.
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency for enterprise services at ServiceNow. Collaborate with a team of scientists, developers, and product managers to deliver innovative solutions to enterprise customers worldwide.
The Machine Learning Quality Engineer at ServiceNow will be responsible for testing AI/ML models, designing testing strategies, creating comprehensive test plans, and collaborating with developers to ensure high-quality results. The ideal candidate should have a Bachelor's or Master's degree in Computer Science/Engineering, 3 years of work experience, strong test automation skills in Java/Python, and experience with automated testing frameworks and agile methodology.
Seeking a Machine Learning Engineer with expertise in Python, Machine Learning, and Data Science to join the Optimization team. Responsibilities include developing machine learning algorithms, data pipelines, and deploying models into production. Collaborates with internal teams, provides leadership, and contributes to future product development studies.
Join Paper, an educational support system company, as a Senior Data Engineer. Help optimize products by building a learning profile for each student using collected data. Work on personalized tutoring, practice centers, and college readiness solutions. Must have 5 years of experience in Python, SQL, AWS, data engineering, and ETL processes.
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The job involves leading Oracle Master Data Management projects and overseeing data and analytics strategies for clients. Responsibilities include implementing MDM solutions, maintaining data quality, leading technical and functional teams, and addressing various business requirements.
Lead and manage Oracle Master Data Management projects, implement MDM solutions across multiple sectors, maintain data quality rules, work with Oracle platforms, and collaborate with technical and functional teams for successful MDM implementation.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, empower teams to understand financial performance, experiment with modeling techniques, partner cross-functionally with finance, product, and engineering teams.
Develop and maintain scalable data analytics solutions using Tableau, Snowflake, dbt, and Fivetran. Create dashboards, manage data warehouses, ensure data quality, and empower stakeholders to make data-driven decisions.
Building applications to support the development of advanced technology and optimize processes for product market entry. Responsibilities include enhancing PLM capabilities, providing customer support, integrating systems, and upgrading environments. Required education includes a Bachelor's degree or equivalent experience with 5+ years of experience in PLM.
Design and build machine learning models to solve classification, regression, and machine vision problems. Perform hyper-parameter tuning and optimize prediction performance. Implement production-ready pipelines for ML prediction and training.
Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Translate business problem statements into analysis requirements and collaborate with the team to measure customer experience. Develop queries, visualizations, troubleshoot data-quality issues, and recommend improvements to back-end data sources.
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for urban roads related to Perception and Object Tracking. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, experience in deep learning projects, programming skills in Python and/or C++, expertise in ML frameworks, strong communication skills, and the ability to design scalable architectures.
Top remote Companies in Tulsa, OK Hiring Data + Analytics Roles
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