Bangalore, Karnataka, India
Information Technology
Full-Time
Lowe's
Overview
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.
Job Summary
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 modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization.
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
Preferred Qualifications
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 modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization.
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 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.)
- 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.)
- 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
- 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.)
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.
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