About Lowe’s

Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in.

About the Team

The Visual Commerce team focuses on enhancing the customer experience by developing various visualizers and inspirations. These tools assist customers in decision-making by providing better product visualization. Our team specializes in cutting-edge machine learning technologies within computer vision, including Generative AI, to tackle complex challenges in the retail domain.We offer a dynamic environment ideal for candidates seeking a creative and challenging workplace.

Job Summary

The main objective of this role is to develop Computer Vision models that drive our data science initiatives. With a solid foundation in Computer Vision, Computer Science, Mathematics, or Statistics, you will play a crucial role in improving customer experiences. This position offers the opportunity to gain experience in a variety of areas, including, but not limited to, computer vision and generative deep learning challenges.

• A Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the Team. This role should be able to come up with out-of-the-box solutions for complex retail challenges using computer vision techniques.

Core Responsibilities:

• Utilize machine learning technologies such as Python, Pyspark, TensorFlow, and PyTorch to develop, and implement high-performance, scalable applications for enterprise level visualizers and computer vision projects.

• Develop and implement computer vision algorithms and models to solve complex business problems, such as object detection, image classification, depth estimation, Generative AI and image segmentation.

• Develop and maintain technical documentation of algorithms and models, including documentation of model performance and validation.

• Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects and to guide team members

• Stay up to date with the latest developments in computer vision and machine learning and apply this knowledge to improve our products and processes.

• Asks the right questions to understand the problem; validates understanding with Stakeholder or Manager

• Should be able to train the deep learning models after data preparation, validate the model, deploy the model to cloud environment, do performance tuning and monitor the model inference.

• Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope

• Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable in the business

• Develop projects with full adherence to enterprise project management practices by participating in formal and informal training

• Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies

Years of Experience:

• 2+ years of experience in python,deep learning and computer vision Datascience.

Qualifications
Minimum Qualifications

• Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics
• OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
• Knowledge of SQL and various statistical modeling or machine learning techniques

Preferred Qualifications

• Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
• Experience in performing predictive analytics in a large scale enterprise
• 2 years of experience in data science or advanced analytics in industry
• SQL Experience
• Programming experience (Python, Java, Scala, Rust, etc.)
• Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)

Primary Skills (must have)

• Python
• Computer Vision
• Deep Learning
• Machine Learning

Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.