Data Scientist - R/SQL/Python (4-16 yrs)

Profile : Data Scientist

Job description :

- Design and Develop data science solutions fairly independently to drive incremental value for the team.

- Collaborate with business functions to design and shape experiments to demonstrate data science-enabled advantage.

- Define best practices related to information architecture, including collection, integration, organization, analysis and visualization of data for data-enabled impact.

- Communicate findings to internal teams to enable business impact.

- Engage in data science practice development initiatives focused on building employee knowledge and skills in specific areas of expertise through coaching and development of training course material.

- Write well documented code that can be shared and used across teams, and can scale to be used in existing products. SQL, Advanced Python or R (descriptive / predictive models), Tableau Visualization. Working knowledge of Hadoop, BigQuery, Presto, Vertica

- Apply your expertise in quantitative analysis, data mining, and the presentation of data to uncover unique actionable insights about customer service, health of public conversation and social media

- Inform, influence, support, and execute analysis that feeds into one of our many analytics domains Customer analytics, product analytics, business operation analytics, cost analytics, media analytics, people analytics

- Select and deselect analytics priorities, insights and data based on ability to drive our desired outcomes

- Own the end to end process, from initiation to deployment, and through ongoing communication and collaboration, sharing of results to partners and leadership

Roles Responsibilities :

- As a data scientist at Team, you will help transform the Kmart group data into tangible business value by analysing information, synthesizing insights and communicating outcomes

- 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 own mistakes 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.

Technical skills required :

- 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.

- Data Management Skills using SQL

- Basic understanding of Cloud (AWS, Azure, etc.).

- Experience in agile development methodologies

- Excellent programming skills in Python