About the job
SummaryBy Outscal
Lead data science solutions for a retail business. Strong experience in data analysis, ML, and scaling solutions. Proven experience in designing and scaling up data science solutions. Experience in scrum teams using Agile tools like JIRA.
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.
Experience: 8 to 11 Yrs
Design & lead the development & deployment of solutions that leverage data sciences & advanced analytics to drive incremental value for a retail business.
Be responsible for working on multiple use cases at the same time.
Analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis Manage the continuous improvement of data science / ML by following industry & staying up to date. Develop and recommend process standards & best practices in ML. Build relevant new capabilities in advanced
Technical Skills Required
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.
Experience: 8 to 11 Yrs
Design & lead the development & deployment of solutions that leverage data sciences & advanced analytics to drive incremental value for a retail business.
Be responsible for working on multiple use cases at the same time.
Analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis Manage the continuous improvement of data science / ML by following industry & staying up to date. Develop and recommend process standards & best practices in ML. Build relevant new capabilities in advanced
Technical Skills Required
- Advanced understanding of statistics is a must - at least 8 yrs of hands on experience in solving data science problems
- Should have worked extensively in any of the following - multiple linear regression/ logistic regression/ clustering/ random forests/ forecasting/mathematical optimization
- Expertise in tools required to execute a data science project - SQL, Python, 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
- Strong experience in exploratory data analyses, ML experiment design, statistical testing and frameworks
- Proven experience of designing and scaling up data science solutions
- Experience working in scrum teams with Agile tools like JIRA
- Strong verbal and written communication skills. Ability to explain complex concepts and technical material to non-technical users
- Retail or Ecommerce domain is preferable
- Has mentored or led small teams of 2 to 4 team members
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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