About the job
SummaryBy Outscal
Data Scientist with 4+ years of experience in Retail/CPG domain. Proficiency in SQL, Python, R, ML algorithms, and Cloud solutions (AWS, Azure). Experience in merchandizing analytics, digital analytics, and productionalization of analytics products. Strong analytical and communication skills.
About the job
Brighter futures start here
At Anko you’ll be joining a diverse team who come together to collaborate globally around tech. We are an innovation hub which power and support our retail brands. You’ll feel the impacts of the work you’ll do for our millions of customers and team members every day. Our brands are focused on being customer-led, digitally enabled retailers, providing you with challenging and rewarding work that you will be proud of.
Join our team, choose your own path and work on projects that excite you.
The team works with various functions and acts as a critical enabler of Kmart’s strategic priorities, such as creating a single view of the customer, digital supply chain, lowest price leadership, new categories, and new formats.
What You’ll Be Doing
We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates.
At Anko you’ll be joining a diverse team who come together to collaborate globally around tech. We are an innovation hub which power and support our retail brands. You’ll feel the impacts of the work you’ll do for our millions of customers and team members every day. Our brands are focused on being customer-led, digitally enabled retailers, providing you with challenging and rewarding work that you will be proud of.
Join our team, choose your own path and work on projects that excite you.
- Team Name: Data Science
The team works with various functions and acts as a critical enabler of Kmart’s strategic priorities, such as creating a single view of the customer, digital supply chain, lowest price leadership, new categories, and new formats.
What You’ll Be Doing
- Development & deployment of solutions that leverage data sciences & advanced analytics to drive incremental value for a retail business
- Analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis
- Mine multiple data sets including large data sets through clustering & capture thematic trends
- M.S. or PH.D. in Computer Science, applied mathematics, statistics, physics, operations research, quantitative social sciences or related fields,Mandatory Formal Education/Qualifications e.g. CPA
- B.S. in Computer Science, Applied/Business Statistics or Mathematics
- 4+ years of relevant experience in advanced analytics role preferably in Retail / CPG domain.
- Should have worked on projects / initiatives in merchandizing analytics, digital analytics
- Prior experience in machine learning & big data analytics necessary.
- Experience in productionalization of analytics products will be a plus Track record in managing deliveries of advanced analytical solutions in an agile & iterative model.
- Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms
- Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects
- Synthesizing findings and insights through effective story telling through visualization tools such as Power BI /Tableau
- Detail-oriented team player with strong interpersonal skills and ability to take a leadership role when necessaryExcellent ideation, facilitation and communications skills
We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates.
About The Company
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