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Job Type
Full-time
Work Mode
In-office
Industry
Retail
Role
Managers
Experience
Not specified
Education
Not specified
Salary
Not disclosed
Location
Riyadha
Apply Before
May 6, 2025
Job Description
Roles & Responsibilities
Company Overview:
The client, a pioneer in retail innovation, where they leverage cutting-edge AI and data science to transform the shopping experience. They are committed to solving real-world challenges—from optimizing supply chains to personalizing customer interactions—using data-driven strategies. Their team thrives on collaboration, creativity, and turning insights into impactful solutions.
Key Responsibilities:
Lead AI/ML Initiatives: Design and deploy scalable models (e.g., demand forecasting, inventory optimization, customer segmentation) to address retail challenges.
Cross-Functional Collaboration: Partner with IT, marketing, and operations to integrate AI solutions into business processes.
Data Strategy: Architect robust data pipelines and ensure seamless integration with BI tools (Tableau, Power BI) for actionable insights.
Innovation: Stay ahead of industry trends (e.g., GenAI, NLP, IoT) and pilot emerging technologies to drive competitive advantage.
Ethical AI: Champion responsible AI practices, ensuring compliance with privacy regulations (GDPR, CCPA).
Team Leadership: Mentor data scientists and analysts, fostering a culture of continuous learning and innovation.
Vendor Management: Evaluate and collaborate with external AI/ML vendors and research partners.
Metrics-Driven Impact: Monitor model performance and ROI, aligning AI projects with business KPIs (e.g., sales growth, operational efficiency).
Qualifications:
Education: Master’s/PhD in Computer Science, Data Science, or related field.
Experience: 5+ years in data science/AI, including 2+ years leading teams in retail or consumer industries.
Technical Skills:
Proficiency in Python/R, TensorFlow/PyTorch, SQL, and cloud platforms (AWS, Azure).
Expertise in BI tools (Tableau, Power BI) and big data technologies (Spark, Hadoop).
Familiarity with retail systems (POS, CRM) and data privacy standards.
Business Acumen: Ability to translate business needs into technical solutions (e.g., reducing stockouts, enhancing CX).
Soft Skills: Strong communication, problem-solving, and project management skills.
Company Overview:
The client, a pioneer in retail innovation, where they leverage cutting-edge AI and data science to transform the shopping experience. They are committed to solving real-world challenges—from optimizing supply chains to personalizing customer interactions—using data-driven strategies. Their team thrives on collaboration, creativity, and turning insights into impactful solutions.
Key Responsibilities:
Lead AI/ML Initiatives: Design and deploy scalable models (e.g., demand forecasting, inventory optimization, customer segmentation) to address retail challenges.
Cross-Functional Collaboration: Partner with IT, marketing, and operations to integrate AI solutions into business processes.
Data Strategy: Architect robust data pipelines and ensure seamless integration with BI tools (Tableau, Power BI) for actionable insights.
Innovation: Stay ahead of industry trends (e.g., GenAI, NLP, IoT) and pilot emerging technologies to drive competitive advantage.
Ethical AI: Champion responsible AI practices, ensuring compliance with privacy regulations (GDPR, CCPA).
Team Leadership: Mentor data scientists and analysts, fostering a culture of continuous learning and innovation.
Vendor Management: Evaluate and collaborate with external AI/ML vendors and research partners.
Metrics-Driven Impact: Monitor model performance and ROI, aligning AI projects with business KPIs (e.g., sales growth, operational efficiency).
Qualifications:
Education: Master’s/PhD in Computer Science, Data Science, or related field.
Experience: 5+ years in data science/AI, including 2+ years leading teams in retail or consumer industries.
Technical Skills:
Proficiency in Python/R, TensorFlow/PyTorch, SQL, and cloud platforms (AWS, Azure).
Expertise in BI tools (Tableau, Power BI) and big data technologies (Spark, Hadoop).
Familiarity with retail systems (POS, CRM) and data privacy standards.
Business Acumen: Ability to translate business needs into technical solutions (e.g., reducing stockouts, enhancing CX).
Soft Skills: Strong communication, problem-solving, and project management skills.
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