3 data scientist jobs found

Position: Technical Lead – AI & Machine Learning Job Description: Position Overview As the Technical Lead – AI & Machine Learning at Arrow Electronics, you will play a key role in delivering enterprise AI and machine learning solutions across intelligent products and internal automation platforms. Working under the direction of the AI leadership team, you will translate strategic AI initiatives into scalable, production-ready solutions while providing technical leadership to a team of AI engineers and data scientists. You will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models. As the technical lead for project execution, you will collaborate closely...

Position: Senior Data Engineer Job Description: Seeking an experienced Senior Data Engineer to design, development, and optimization of our data pipelines, data models, and analytics infrastructure. The ideal candidate has strong experience in building scalable data platforms across operational systems and enterprise data warehouses. Key Responsibilities Core Responsibilities • Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data. • Develop high - quality data integration workflows using modern data engineering tools and frameworks. • Optimize data processing performance, storage usage, and pipeline reliability. • Implement data quality checks, validation rules, and monitoring dashboards. • Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for...

Position: Analytics Product Owner Job Description: The Analytics Product Owner owns the vision, prioritization, and delivery of analytics products that enable data‑driven decision‑making across the business. This role operates at the intersection of business, data, and technology—translating complex business needs into clear, actionable analytics work. You will own the analytics backlog end‑to‑end, facilitate agile execution, and ensure the analytics team is delivering high‑quality, trustworthy insights aligned with both strategic priorities and near‑term business needs. This role is ideal for someone who enjoys creating clarity, making trade‑offs, and helping analytics teams focus on outcomes—not just output. Key Responsibilities Product Ownership & Prioritization Own and maintain the analytics product backlog, translating business objectives into well‑defined user stories with clear acceptance criteria Prioritize work based on business value, effort,...