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 Senior 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 business. This role influences the thought process and methodology for other team members.

Key Responsibilities

Utilize machine learning technologies such as Java, Python, Pyspark, TensorFlow, and PyTorch to design, 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.

Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; 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.

Executes plan for measuring impact based on discussions with stakeholders, partners and senior team members.

Executes 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.

Required 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 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.)

Or a master's degree in mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.)

Or Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics.

Also, Knowledge of SQL and various statistical modeling or machine learning techniques.

Preferred Qualifications

Ph.D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field.

3 years of experience performing predictive analytics at a large-scale enterprise.

3 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.)

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 Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com. 

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.