1. 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.
2. 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
3. Education / Qualifications
Post Graduate & / Bachelor’s degree in Computer Science, Statistics, Mathematics and Business Administration, Engineering or related areas required
4. 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)
5. 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
Skills Required
- Bachelor's or Postgraduate degree in Computer Science, Statistics, Mathematics, Business Administration, Engineering or related field
- Minimum 10+ years relevant experience in demand planning, customer service, sales or supply chain
- Minimum 5+ years experience in Data Science with knowledge of the data science lifecycle
- Proficiency in Python, R and SQL
- Experience with ERP/demand planning tools such as o9 and SAP
- Advanced Excel, PowerPoint and Power BI (data visualization and reporting)
- Statistical, probability and quantitative analytics expertise and machine learning proficiency
- English proficiency (other European languages preferred)
- Previous automotive industry experience (OEM, Tier-I)
- Six Sigma Green Belt or equivalent certification
Garrett Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Garrett and has not been reviewed or approved by Garrett.
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Fair & Transparent Compensation — Pay is considered fair or above average in several teams and markets, with comments highlighting “fair pay for job” and “above average pay.” Core engineering compensation in the U.S. is characterized as competitive in certain locations, albeit based on directional data.
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Leave & Time Off Breadth — Time-off programs include “unlimited” PTO at some locations and a defined holiday schedule, with many describing positive experiences using time away. Other sites reference straightforward vacation/PTO programs within a globally guided framework.
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Retirement Support — A 401(k) with a company match is a standard element of the U.S. package and is consistently referenced. This provides a conventional foundation for retirement savings within the total rewards mix.
Garrett Insights
What We Do
Garrett Motion is an automotive technology leader, serving vehicle manufacturers worldwide for more than 65 years. Garrett’s cutting-edge technology enables vehicles to become cleaner, more efficient and connected. The company’s broad offering of gas and diesel turbocharging applications, electric boosting and fuel cell technologies and automotive software solutions empowers the transportation industry to redefine and further advance motion.
