3 data scientist jobs found

Position: Data Scientist / Senior Machine Learning Engineer Job Description: Position Overview: As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company. Key Responsibilities: 1. Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains. 2. Data Analysis:...

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,...