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

The Applied Research Scientist will work with a team to develop state-of-the-art deep learning and natural language processing algorithms, build prototypes, and collaborate with product and engineering teams to transition research into products. They will also publish research findings and participate in conferences.

As the Director of Data Science and Analytics at Mixbook, you will lead the analytics team, develop statistical models, oversee business analysis, and implement data-driven strategies to enhance business performance and growth in a fully remote environment.

As a Research Engineer at Chainlink Labs, you will define research agendas, drive projects that enhance decentralized oracle technologies, and maintain Chainlink's leadership in smart contract ecosystem solutions, while collaborating with a cross-disciplinary team to innovate in applied cryptography and security.

As a Data Engineering and Analytics Manager at Spark, you'll lead the data team, overseeing data engineering, analytics, and infrastructure projects. Your role involves managing and mentoring team members, building scalable data solutions in GCP, transforming messy data into structured formats, and creating dashboards for data-driven decision-making.

As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.

The Staff Media Revenue Growth Analyst will perform data analyses and provide actionable insights to support advertising revenue growth. This role involves leading strategic initiatives, managing stakeholder relationships, and influencing decision-making to enhance product value and communication with advertising partners.

Develop and deploy advanced data science models using LLMs, GPT, and RAG. Utilize deep learning techniques to drive business growth and enhance functionality on the platform. Communicate findings to stakeholders.