Opening for Data Scientist
Post Date: 23 Aug 2019
Last Date: 23 Sep 2019
we are looking for dynamic and passionate individuals who would join our fast growing team to help us build the retail technology organization of tomorrow. The best fit for Lowe's will be someone who puts the customer before everyone else, by building a strong relationship with customers and stakeholders and meeting their needs.
Someone ready to take accountability in delivering results. Someone who is a go-getter in pushing things forward and delivering results. Someone who shows courage even in the face of great difficulty. And someone who puts the utmost premium on continuous learning and growth.
The Data Scientist will join the data science team to: Demonstrate and drive deep technical expertise in solving real world retail business problems through the application of machine learning Collaborate with other team members both within and outside the data science team to create and deliver world class analytical products Act as an SME on the floor and help build data science capabilities Very Strong background and theoretical foundation in Machine Learning & advanced statistical modeling concepts Superior programming skills, specifically in R, Python, Scala, Spark, Java Experience handling a wide variety of data of large volumes Experience collaborating with a team of data scientists in developing and delivering scalable enterprise level machine learning products/solutionsAbility to collaborate in a global environment Ph.D. in Computer Science with 3+ years of experience in a similar role (OR) Master’s in computer science with 5+ years of experience
Source : Lowe's Services India Private Limited
|Experience||5 Years - 8 Years|
|Education (Required)||B.Tech/B.E, M.Tech, MCA|
|Skills (Required)||Bigdata, Data Analyst, Data Mining, Data Scientist, Java, Python|
|Industry||IT / Computer Software|
|Department / Functional Area||IT(Information Technology)|
|Employment Type||Full time|
|Salary||Not to be disclose.|
|Working Days||Monday, Tuesday, Wednesday, Thursday, Friday|
|Working Hours||9:30 AM - 5:30 PM|