Top Senior Level Data & Analytics Jobs in Dallas, TX

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.

The Lead Data Manager will oversee all data management activities for clinical studies, including eCRF development, database build, data collection, cleaning, reporting, and validation. The role also involves coordinating with internal teams to ensure data quality and adhering to regulatory standards.

As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.

As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.

As a Principal Data Engineer at LeafLink, you will design and maintain a high-performing data pipeline architecture, collaborate with Cloud and DevOps for data operations, and advocate for modern technologies to enhance data-driven insights across the organization.