Data Scientist - Supply Chain Management Domain

Data Scientist- SCM

BU: Supply Chain Management

Location: Mumbai (Equinox)

Team Direct Reportees: Individual contributor

Purpose/Objective of the Role:

- Data Scientist is responsible for analysing data and developing forward-looking business solutions for SCM function.

- He / She would need to evaluate and find areas of improvement in SCM's way of working basis data.

- He / She is responsible for bringing scientific rigor and statistical methods to the challenges of strategic procurement.

- He / She would be responsible for working closely with internal stakeholders such as Sourcing, Operations, and Logistics teams to produce innovative and actionable quantitative models and analyses to achieve the goals of cost leadership and business velocity.

- He / She would be required to have a customer-centric approach when helping to attain its business goals while building long-term capabilities.

- He / She would need to have a thorough understanding of how SCM functions interact with each other, with Product / Engineering teams and with external stakeholders such as vendors to create actionable solutions.

(Qualification/experience/ Certifications):

- Ability to visualize models and results to provide data-driven insights (Power BI experience is preferred)

- Experience in database languages (eg. SQL) and fair understanding of ETL process

- Demonstrated resourcefulness, self-direction, attention to detail, meticulous

- Change management and automation experience is must

- Ability to handle large data sets and drive insights to support informed management decisions

Preferred:

- Master's degree in Engineering, Statistics, Mathematics, Economics or an Applied Science or equivalent practical experience

- Experience with statistical software (e.g., R, Python, MATLAB, pandas)

- Experience in delivering bespoke analytics to stakeholders

- Experience in using and/or deploying digital analytics and measurement solutions

Key Skills (Tech/behavioural):

Core Technical Skills (Enablers related):

1. Technology and Tools

2. Supply base analysis

3. Fin and Supply Chain

4. Sustainability Practice

Core Technical Skills (Others): Understanding of the Sourcing process

Core Behavioral Skills:

1. Ethics and Integrity

2. Client Service

3. Communications and Influencing

4. Results Driven

5. Adaptability

6. Teamwork

7. Leadership Skills

8. Developing Self and Others

(Key areas of Responsibilities):

Data Management and Analysis:

- Work effectively with large, complex datasets to derive actionable insights

- Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations

- Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed

- Leverage data to identify potential supply chain risks

Innovative Solution Design:

- Leverage data analytics and visualization tools to propose innovative solutions for growth, aligned with overall organization's objectives and KPIs

- Translate data and model results into tactical and strategic insights that are clear, complete, accurate, relevant, understandable, and applicable to decision-making and needs of varying stakeholders

Stakeholder Management:

- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information

- Make presentations to internal stakeholders to integrate recommendations into business processes

- Lead and/or participate in cross-functional team projects