Top Senior Level Data & Analytics Jobs

The Lead Data Engineer will oversee the design and construction of data pipelines, mentor a team of Data Engineers, enhance existing software programs, lead the adoption of new technologies, and ensure effective data solutions aligned with the firm's strategic goals.

As a Senior Data Scientist at Haus, you will build and deploy models, drive experimentation, and lead a team while collaborating with cross-functional teams to deliver meaningful insights for enterprise clients. You will enhance the GeoLift model and ensure high-quality results through rigorous statistical evaluations and innovative tools.

The Senior Data Scientist will support product security efforts by developing machine learning solutions, building data pipelines, and integrating models into game development while collaborating with various departments. The role involves communicating analysis results to both technical and non-technical teams.

The Senior Data Engineer at Cypris will design, build, and maintain scalable data pipelines and systems. Responsibilities include optimizing data performance, implementing ETL processes, collaborating with teams for data solutions, and ensuring data security. The role focuses on enhancing data capabilities in an AI-powered research tool for global innovation data.

Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.

As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.