Top Data & Analytics Jobs
The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
The Data Scientist will develop and implement machine learning and AI models, focusing on improving model performance and building LLM-based products. Responsibilities include analyzing complex datasets, developing cloud-native solutions using GCP, and ensuring quality assurance of the machine learning models.
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.
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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.
As an NFL Data Scientist, you will develop and improve machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, performance analysis, documentation, and collaboration with data engineering and product teams.
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 Data and Analytics Solution Architect will design and implement data architecture and integration processes to support business goals, improve data governance, and collaborate with cross-functional teams. Responsibilities also include selecting data solutions, monitoring performance of cloud data infrastructure, and driving innovation with new technologies.
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 Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
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.
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