3 data scientist jobs found

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,...

Position: AI Architect Job Description: A highly skilled and motivated AI Architect for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Architect bridges the gap between business objectives and technology, ensuring that AI systems align with the organization's strategic goals. What we're looking for: Education : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred. Experience: Minimum of 5 years of experience in AI projects, data science, or a related field. Skills: Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP,...