Top Hybrid Data & Analytics Jobs
As a Database Administrator at NinjaTrader, you will be responsible for managing the performance, integrity, and security of databases on-prem and in the cloud. Your role will involve designing, implementing, and maintaining scalable database systems, ensuring data integrity and accessibility.
Reorg is looking for a Fundamentals Analyst to build and maintain financial models, analyze company performance, and contribute to the data products. The role includes preparing financial models, maintaining a coverage universe, analyzing financial data, and participating in ad hoc projects for continuous improvement.
Lead the Data Science and Artificial Intelligence Department in researching, prototyping, and building AI and data enabled tools for the space enterprise. Manage a team of engineers, data scientists, and programmers to deliver innovative solutions for national security, civil, and commercial customers.
The Aerospace Corporation is seeking a Director for the Data Science and Artificial Intelligence Department to lead a team of engineers, data scientists, and programmers in developing AI and data enabled tools for space enterprise. The role involves setting department strategy, aligning with corporate priorities, and overseeing R&D and customer support for mission-critical space systems.
The Aerospace Corporation is looking for a Director for their Data Science and Artificial Intelligence Department to lead a team in researching, prototyping, and building AI and data-enabled tools for space enterprises. This is a full-time position offering a hybrid work model based in El Segundo, CA, Chantilly, VA, or Colorado Springs, CO.
Featured Jobs
The Analyst, Sales Planning at Warner Bros. Discovery is responsible for assisting in forecasting sales, supporting reporting activities, maintaining data integrity in the data warehouse, and improving systems and processes related to data and reporting.
As a Manager of Data Engineering at Warner Bros. Discovery, you will be responsible for leading efforts to scale existing data offerings and establish technical strategies for the Data Platform. You will optimize the technical ecosystem by leveraging your engineering, infrastructure, data, and cloud knowledge. The role requires deep technical expertise, collaboration skills, and experience in infrastructure-as-code, data lake management, AI/ML, and Analytics.
We are hiring Senior Machine Learning Engineers to join the ML Platform team. As part of a rapidly growing team, you will own complex systems that will provide a personalized and unique experience for millions of users across over 200 countries for all the WBD brands.
Head of Data responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams. Architect of Square's Data strategy and drive strategic direction and technical roadmap for Square's data platform.
Partner with the Cash App Trust org to deliver critical insights using SQL and data visualization tools. Build and monitor metrics, interpret A/B experiments, and communicate effectively with stakeholders. Requires a bachelor's degree in statistics or related field with 5+ years of experience, or a graduate degree with 2+ years of experience.
As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, standardizing metrics, building data pipelines, and promoting best practices in data and analytics. You will work with a data-driven team to analyze large datasets and drive impactful business decisions.
Responsible for maintaining financial technology operations, processes, and reporting deliverables. Supports financial reporting, Corporate consolidation initiatives, and financial modeling. Requires Bachelor's degree and 3-5 years of relevant experience.
As an Associate Analyst, you will support fraud operations management through data and analytics to prevent fraud incidents and improve risk management. You will analyze data, build reporting suites, collaborate with cross-functional teams, drive process improvements, react to threats, and work on customer behavior analysis.
Seeking an experienced Staff Machine Learning Engineer - MLOps Platform to join the Machine Learning team at Realtor.com. Responsible for designing data pipelines, enhancing infrastructure, optimizing model performance, and collaborating with product and engineering teams. Requires experience in Python, R, Spark, SQL, AWS, Kubernetes, and MLOps frameworks.
As a Principal Data Scientist at Capital One, you'll partner with a cross-functional team to deliver customer-centric products using a broad stack of technologies. You will build machine learning models and translate complex work into tangible business goals. The ideal candidate is customer-focused, innovative, technically proficient, and statistically-minded.
As a Principal Data Scientist at Capital One, you will partner with a cross-functional team to deliver products customers love, leverage various technologies to reveal insights from large datasets, build machine learning models, and translate complex work into business goals. The ideal candidate is customer-focused, innovative, technical, and statistically-minded. Basic qualifications include a Bachelor's Degree plus 5 years of experience or a Master's Degree plus 3 years in data analytics.
Join Capital One as a Principal Data Scientist in the Model Risk Office. Work with a cross-functional team to develop machine learning models and deliver customer-centric products using a range of technologies including Python, AWS, and Spark.
As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. You will provide technical leadership, guide engineers, collaborate with cross-functional teams, and write high-quality, maintainable code. You should have a strong background in Machine Learning frameworks, including Pytorch, Tensorflow, and NLP. Additionally, you should have experience building machine learning models and a proven track record of technical leadership.
Top hybrid Companies Hiring Data + Analytics Roles
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