Top Remote Data & Analytics Jobs

Responsible for all aspects of data platform, data integration, and data analytics at NBC Sports Next. Leading improvements of existing data solutions and development of new solutions to address business requirements. Act as a company-wide consultant to solve problems using data-driven decisions.

Manage compliance projects, track activities, develop reports, conduct testing, and perform assessments. Engage with various teams to maintain controls and certifications. Monitor and report on certification activities. Identify security risks and develop treatment plans. Provide recommendations for improving operations. Ensure governance systems are functioning as intended. Interface with external parties for audits and assessments. Assist in dealing with compliance problems and maintaining security measures.

The Senior Data Scientist will leverage advanced statistical analysis and machine learning to shape product development and identify opportunities for improvement. They will work with cross-functional teams to deliver analytics solutions and drive the adoption of data products.

Responsible for ensuring metrics consistency between operational teams and executive level business reporting. Collaborate on product and business problems, apply quantitative analysis to develop strategies, and measure the success of product efforts.

As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale. Additionally, you will lead the organization to develop and adopt novel ways to increase the speed of the experimentation lifecycle.

Join Altium as a Junior Business Intelligence Developer responsible for developing and maintaining data queries and reports. Collaborate with various teams to shape the future of data at Altium and contribute to the design, development, and maintenance of data reporting infrastructure.

Lead the development and implementation of analytical capabilities and applications, creation of machine learning models and pipelines, development of personalization services, technology proof of concept projects, standardization of machine learning algorithm framework, collaboration with Data Scientists and Analysts, addressing complex technical challenges, analysis of data for insights, and mentoring junior engineers.

Lead Machine Learning Engineer at GoodRx responsible for developing and implementing analytical capabilities, machine learning models, and personalization services. Must have 7+ years of experience in building machine learning systems at scale and expertise in deep learning frameworks such as TensorFlow and PyTorch.

Lead Machine Learning Engineer responsible for developing and implementing analytical capabilities, building machine learning models and pipelines, overseeing technology projects, standardizing machine learning framework, analyzing data for insights, and mentoring junior engineers.

Join our Data Engineering team and lead projects end-to-end to build analytical products and make data-driven decisions at scale. Create tools and software frameworks to support engineers and end users. Drive improvements and ensure the usability of analytical data.

The Business Systems Analyst II is responsible for tactical execution of the company's software, systems integration, and business intelligence. The role involves working with various departments to deliver on systems-related initiatives and uphold the company's philosophies.