Sr Data Scientist - Computer Vision

Lowe's • Charlotte, NC

435d • $92,300 - $175,400

About The Position

The Senior Data Scientist role at Lowe's focuses on developing Computer Vision models to enhance data science initiatives and improve customer experiences. This position requires expertise in computer vision, machine learning, and programming, with responsibilities that include designing scalable applications and solving complex business problems. The role also involves mentoring junior team members and staying updated on industry trends and technologies.

Requirements

• Bachelor's degree in a quantitative field (Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science) with 4 years of analytics experience and 2 years of programming experience (Python, Java, Scala, Rust) OR a master's degree with 2 years of analytics experience and 1 year of programming experience OR a Ph.D. with 1 year of analytics experience.
• Knowledge of SQL and various statistical modeling or machine learning techniques.

Nice To Haves

• Ph.D. in a quantitative field (Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science).
• 3 years of experience in predictive analytics at a large-scale enterprise.
• 3 years of experience in data science or advanced analytics in industry.
• SQL experience.
• Experience with multiple data systems and sources (Hadoop, Spark, Aster, Teradata).

Responsibilities

• Utilize machine learning technologies such as TensorFlow, PyTorch, or OpenCV to design, develop, and implement high-performance, scalable applications for enterprise level visualizers and computer vision projects.
• Write efficient, maintainable Python code and apply advanced Python concepts to solve complex problems.
• Develop and implement computer vision algorithms and models for object detection, image classification, depth estimation, Generative AI, and image segmentation.
• Maintain technical documentation of algorithms and models, including performance and validation documentation.
• Stay updated with industry trends and apply knowledge to improve products and processes.
• Guide junior scientists in translating requirements into analytical approaches and validate understanding with stakeholders.
• Train deep learning models, validate, deploy to cloud environments, and monitor model performance.
• Analyze data using statistical techniques and tools, communicating updates to stakeholders.
• Prepare final recommendations ensuring solutions are implementable and scalable.
• Execute projects adhering to enterprise project management practices.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) retirement plan
• Paid holidays
• Paid time off
• Employee discounts
• Tuition reimbursement
• Professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Building Material and Garden Equipment and Supplies Dealers
• Education Level: Bachelor's degree
• Number of Employees: 10,001+ employees