Anko - Data Scientist - Central Operations Data Science Team

Position Title: Data Scientist (pref from retail, e-com background)

Line Manager's Position Title: Manager / Sr Manager

Level of role: Team member
Years of Experience required for role:1-3 years
Technical Skills required:
Key Challenges of This Position:
Primary Purpose of Role

- Part of the Central Operations Data science team and support the business function with exploratory data analysis and hypothesis testing to generate actionable business insights

- Develop and maintain data science solutions on structured/unstrctured data to drive incremental value for Kmart group

- Create compelling dashboards and presentation to share actionable insights to internal stakeholders and measure benefits

- Inquisitivness balanced with commitment to timelines

- Detail-oriented team player with strong interpersonal skills

- Hypotheses driven solutioning

- Fluent in verbal and written communication(English)
Traits / Abilities:

- As a data scientist at Anko, you will help transform the Kmart group data into tangible business value by analysing and building solutions, synthesizing actionable insights and communicating outcomes.
Position Relationships
About the Organisation

Anko is the global capability centre for Kmart Group Australia, fuelling growth aspirations of iconic Australian retail brands Kmart, Target and Anko. Based in Bangalore, India, we strive to accelerate retail innovation by building competitive capabilities in Technology, Data Sciences and Business Services that enable our brands to deliver delightful experiences to our in-store and online customers.
Individual contributors provide organisational related support or service (administrative or clerical) OR roles operating in a "hands on" environment in support of daily business activities (e.g., technical, production or craft levels). The majority of time is spent in the delivery of support services or activities, typically under supervision. Work typically requires a high school degree or 1-2 year vocational training / associates degree.
Team Member Minimum Requirements

- Basic statistical literacy is a must - Concepts in probability, statistical distributions, inferential statistics. Hands on experience in simple techniques such as multiple linear regression and logistic regression is mandatory. Conceptual understanding and ability to apply Machine Learnings algorithms to real life business problems.

- Basic knowledge of cloud and MLOps - AWS / GCP / Azure. Experience in agile development methodologies.

- Data Management Skills using SQL

- Excellent programming skills in Python
Work Experience
Position Details

- 1+ years of work experience as a Data Scientist / Data Analyst in a corporate environment

- 1+ years of experience on Python, SQL, Ms Excel, EDA and Machine Learning

- Retail / E-com / CPG experience preferred
Capability

- Strives for Improvement

- Awareness of Self and Others

- Openness

- Curiosity

- Safety

- Communicates information

Behaviour:

- Uses the latest technologies that directly impact performance. Readily learns and adopts new technologies. Identifies technologies that can help complete tasks. Understands the terminology of the latest technologies.

- Adheres to defined and communicated standards, methods, and procedures. Informs others about process problems. Seeks ways to work better within the processes. Suggests process and practice improvement ideas for own work area.

- Asks for input about how own actions impact others. Reacts positively when constructive criticism is offered. Recognises ownmistakes and the need to operate differently. Seeks feedback from others.

- Willing to take on the unknown when asked to do so. Will say what needs to be said. Responds appropriately to confrontation and challenge. Faces adversity and challenges.

- Asks questions to learn from others experience. Sees mistakes as part of the learning process. Is comfortable dealing with first time or unusual problems. Quickly grasps the essence of new issues and concepts.

Budget Accountability i.e. Sales/Revenue or Capex/Opex

- Asks for input about how own actions impact others. Reacts positively when constructive criticism is offered. Recognises own mistakes and the need to operate differently. Seeks feedback from others.
Interpersonal Skills with Internal

Contacts:

- Negotiates
Interpersonal Skills with External Contacts:

- Communicates information - Influences others

- Negotiates
- Accountable for a safe site for everyone, every day by implementing and evaluating safe work practices, improving safety = performance and celebrating safety achievements. Reported and identified hazards are actioned. Report site incidents.
Position Dimensions (check applicable)

- Willing to take on the unknown when asked to do so. Will say what needs to be said. Responds appropriately to confrontation and challenge. Faces adversity and challenges.

- Asks questions to learn from others' experience. Sees mistakes as part of the learning process. Is comfortable dealing with first time or unusual problems.

- Quickly grasps the essence of new issues and concepts.