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Data Scientist

Tamil Nadu, India (Hybrid)

Data Scientist

4 Months ago • 4-8 Years • Data Analyst • Undisclosed

About the job

12 skills required for this role

Add these skills to join the top 1% applicants for this job

unity

algorithms

azure

aws

python

sql

data-science

tableau

power-bi

data-analytics

team-player

innovation

Job Description

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.

Must have:

Retail / CPG
SQL, Python, R
ML algorithms
Cloud Solutions

Good to have:

Merchandizing Analytics
Digital Analytics
Productionalization
Agile & Iterative

Perks:

Diverse team
Hybrid work

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.

Team Name: Data Science

The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving the way for a data culture within the organization, which leads to improved sales, cost savings, and customer satisfaction.

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

Desired Qualification And Work Experience

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

A place you can belong

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.

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