Job Description

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.


The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modelling; time series and demand forecasting, optimization, linear and non linear curve fitting, feature engineering, model development and management, production deployment of the models, scalability of systems and measurement in the realm of price optimization, dynamic pricing and promotion analytics


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.

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 4-8 years of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies


OR

• Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 3-7 years of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies


OR

• Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2-5 year of experience in Predictive Analytics, Machine learning and Statistical modelling with Python, SQL AND GCP or any other cloud data technologies

•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
• Experience in SQL, PySpark, Hadoop, GCP technologies
• Experience in ML Engineering framework, Feature engineering and Feature Store, MLOps, Model Management and Governance, setting up continuous learning frameworks

•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.•