SC Data Science Leader

Garrett - Advancing Motion

Madurai District

Vor Ort

INR 3.500.000 - 6.000.000

Vollzeit

14 Tage+

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Zusammenfassung

Garrett Motion is seeking an experienced Data Scientist to analyze large data sets, build predictive models, and support a 30-month demand plan. The role requires coordinating cross-functional teams, improving forecast accuracy, and driving data-driven decisions across supply chain functions.

You will work with tools like o9 and SAP, apply ML techniques, and mentor teams while maintaining strong data management standards and KPI delivery including MAPE and E&O improvements.

Qualifikationen

  • 10+ years of experience in demand planning or related areas such as sales, customer service or supply chain.
  • 5+ years of data science experience with the data science lifecycle.
  • Automotive industry experience preferred (OEM or Tier‑I).

Aufgaben

  • Data Cleaning and Preparation: ensure data quality and transform data for use.
  • Analysis and Interpretation: apply statistical and computational techniques to derive insights.
  • Model Building, Maintaining, & Experimentation: create predictive models and algorithms.
  • Train and support Demand Planning teams on planning tools involving data science and ML.
  • Conceive, plan and prioritize data projects; manage reporting via dashboards and visuals.
  • Weekly MAPE and BIAS checks; align assumptions with Demand Planning teams.

Kenntnisse

Python
R
SQL
Statistics
Machine learning
Data visualization
MS Office
Six Sigma

Ausbildung

Postgraduate or Bachelor’s in CS/Statistics/Math/Engineering or related

Tools

o9
SAP

Jobbeschreibung

Job Description

Position Summary: The Data scientist will be responsible for using their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets to support the organization in decision making, driven by data. They will drive operational excellence & support to deliver a fact based 30 month demand plan. They will coordinate cross-functional research activities and reconcile significant variances for its reduction and work on mitigation actions deployment and execution. They will ensure that the monthly forecast submission deadlines and allied reports are respected and enhanced where needed.

Key Job Areas of Responsibilities
Data Science
  • Data Cleaning and Preparation: Ensuring data quality by cleaning and transforming it into a usable format.
  • Analysis and Interpretation: Using statistical, mathematical, and computational techniques to analyze data.
  • Model Building, Maintaining, & Experimentation: Creating predictive models and algorithms to solve business problems.
  • Maintain and training Demand Planning team on Planning tools related to data science, machine learning & algorithm usage & fine tuning (ie: o9)
  • Conceive, plan and prioritize data projects
  • Reporting: Presenting findings through reports, dashboards, and visualizations.
Demand Management & Accuracy
  • Weekly check MAPE and BIAS at PN level;
  • One Team: Discuss and align assumptions with Demand Planning Teams & CM at required & meaningful level.
  • Continuous Improvements: Follow defined standards and guidelines. Propose and implement improvements.
  • Check and address with improvement top offenders
Internal alignment and collaboration* GEM deployment and its substance for business process excellence
  • Drive annual SDP process and coordinate and lead key project through six sigma principles
  • Collaborate with Supply Chain, Customer Desk Specialist, Sales Team, Marketing Team, Industry Insight team to support the development of the demand forecast and manage demand proactively
  • Ensure adherence to standard Data Management. Demand planning, PIPO, NPI process to meet assigned functional KPIs viz. MAPE, BIAS, Inventory, E&O, Premium Freight
  • Lead, support & report statistical analysis on demand forecast and related KPIs
Education / Qualifications

Post Graduate & / Bachelor’s degree in Computer Science, Statistics, Mathematics and Business Administration, Engineering or related areas required

Experience
  • Minimum 10+ years of relevant experience in demand planning or customer service, sales and supply chain
  • Minimum 5 + years excperience in Data science with good knowledge on the data science lifecycle
  • Previous experience in the automotive industry preferred (OEM, Tier‑I)
Key Skills and Knowledge
  • English proficiency level; Other European language proficiency added advantage
  • Proficiency in Programming, ie Python, R, SQL
  • Statistical, probability & quantitative analytics
  • Machine learning proficiency, working knowledge of algorithms and models for predictive analytics
  • ERP tools viz o9, SAP skills required and other software related to data management, demand management preferred
  • Experienced with MS Office (Excel advanced, PowerPoint, PowerBi etc.)
  • Strong Data visualition capabilities, Presentation and communication skills
  • Preferred - Six Sigma Green Belt Certification / equivalent certification
Behaviors
  • Customer focus – understand and follow customer specific requirements
  • Analyze and challenge forecast data, investigate variations
  • Spot risks of forecast deviations through data analytics and predictive modelling and communicate internally, share information, collaborate and validate findings
  • Self-learning, seek for continuous improvement
  • Well organized to manage multiple competing priorities in parallel
  • Work accurate and follow the weekly MOS
  • Team player
About Us

With a legacy of over 70 years, Garrett Motion is a cutting-edge technology leader enabling emission reduction and energy efficiency. We design, manufacture and sell highly engineered turbocharging, air and fluid compression, and high-speed electric motor technologies for customers in the mobility and industrial fields.

About The Team

The Garrett Integrated Supply Chain (ISC) organization manufactures and delivers safe, high quality products and services, on time , at a competitive cost to cu stomers globally. We make quality a competitive advantage and provide world-class delivery and flexibility thanks to a result-oriented operating system which sustainably drives top performance and continuous improvement across the business in full alignment with our strategic priorities.

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