Director, data science

4 weeks ago

Hyderabad, India Gap Inc. Full time

About the role: Gap Inc. is seeking an innovative and results-driven Director of Data Science to lead advanced AI initiatives and drive the next generation of fashion retail solutions. Based in Hyderabad, India , this role requires a highly skilled data science leader with a Ph. D. and deep expertise in building best-in-class AI systems . The successful candidate will have the vision to create cutting-edge models and insights that directly impact business outcomes, including personalization, demand forecasting, product recommendations, inventory optimization and more. What You’ll Do: Lead Data Science Teams: Build, mentor, and manage a team of data scientists focused on delivering high-impact AI solutions across product, inventory management, personalization, and supply chain optimization. Develop AI Systems for Fashion Retail: Design state-of-the-art AI/ML models and algorithms to enhance customer experience, optimize inventory, and drive incremental demand. End-to-End Solution Deployment: Collaborate with engineering and product teams to ensure seamless integration and scaling of models within production environments. Strategic Collaboration: Partner with business units, including marketing, e-commerce, inventory, and merchandising, to identify opportunities and solve critical business challenges with AI-driven insights. Stay on the Cutting Edge: Monitor advancements in AI/ML research, identifying emerging trends that could benefit Gap Inc.'s business. Measure Impact: Establish KPIs to assess the performance and business value of AI models, driving continuous improvement. Who You Are: Ph. D. in Data Science, Computer Science, Machine Learning, Statistics, or a related field (mandatory). 10+ years of experience in data science, with a strong focus on AI solutions in retail, fashion, or e-commerce . Proven expertise in developing advanced machine learning models (e.g., deep learning, reinforcement learning, NLP) and deploying them at scale. Strong knowledge of retail business processes (e.g., demand forecasting, product recommendations, pricing, and personalization). Experience collaborating with cross-functional teams, including product managers, engineers, and business stakeholders. Excellent leadership skills , with a proven track record of building and mentoring high-performing data science teams. Expertise in Python, R, SQL, and AI frameworks such as Tensor Flow, Py Torch, and scikit-learn. Experience working with cloud platforms (e.g., AWS, Azure, or GCP) for large-scale data processing and model deployment. Strong analytical mindset with excellent communication skills to translate technical insights into business strategies. Preferred Skills: Experience with computer vision models for fashion image analysis or virtual try-on solutions. Knowledge of recommendation engines, trend forecasting models , and assortment localization techniques . Familiarity with ML Ops frameworks and best practices for model deployment and monitoring. Passion for fashion retail and understanding customer preferences across regions and markets. If you are a passionate Leader eager to shape the future of retail through cutting-edge AI technologies , we invite you to apply and make an impact with us at Gap Inc.

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