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MKS Inc.
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Bengaluru · On-site · 8-11 Yrs · Oct 1
1 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Senior Data Scientist – Digital Supply Chain
Responsibilities
- Business Intelligence & Reporting
- Design, develop, and maintain Power BI dashboards, reports, and semantic models for supply chain KPIs (OTD, inventory, shortages, supplier performance, planning metrics).
- Ensure reporting is accurate, governed, and aligned with enterprise analytics standards.
- Translate business questions into clear, actionable visual insights.
- Data Engineering & Modeling
- Build and maintain data models and ETL pipelines using Python, SQL, and enterprise data platforms.
- Integrate and harmonize data from ERP systems (SAP, Oracle), supply chain data marts, and analytics platforms.
- Ensure data quality, lineage, and documentation in partnership with MDM and IT teams.
- Applied Analytics
- Deliver descriptive and diagnostic analytics, with selective predictive use cases (e.g., trend analysis, lead-time insights, planning support).
- Support AI/ML initiatives by enabling clean data, validating results, and embedding insights into operational reporting.
- Cross‑Functional Collaboration
- Act as a bridge between business users and IT, ensuring analytics solutions are both technically sound and business-relevant.
- Partner with supply chain teams to prioritize analytics demand and deliver incremental, high-impact solutions.
- Operational Excellence
- Monitor dashboard reliability, data refresh cycles, and pipeline performance.
- Contribute to reusable datasets, analytics standards, and continuous improvement of DSC analytics capabilities.
Qualifications
- Business & Analytical Skills
- Solid understanding of supply chain processes and metrics.
- Ability to translate business needs into scalable analytics solutions.
- Strong attention to data accuracy, consistency, and usability.
- Collaboration & Communication
- Ability to work effectively with global, cross-functional teams.
- Clear communication skills for explaining insights to non-technical audiences.
- Familiarity with cloud data platforms (Azure, AWS, Fabric, Databricks).
- Exposure to AI/ML concepts and analytics enablement for AI-driven initiatives.
- Agile or project-based delivery experience.
- Analytics Reliability & Adoption
- Stable, trusted Power BI dashboards with strong business adoption.
- Reduced data issues and improved confidence in supply chain reporting.
- Business Impact
- Analytics solutions that materially support better planning, procurement, inventory, and operational decisions.
- Positive stakeholder feedback on clarity, usefulness, and responsiveness.
- Scalability & Enablement
- Reusable data models and pipelines that reduce manual effort and improve delivery speed.
- Effective collaboration with BPM, MDM, AI, and IT teams to enable end-to-end digital supply chain analytics.
Education
- Bachelor’s degree in Data Analytics, Computer Science, Engineering, Supply Chain, or related field.
- 8+ years of experience in business intelligence, data analytics, or data engineering roles.
- Technical Skills
- Strong proficiency in Power BI (data modeling, DAX, performance optimization).
- Hands-on experience with data modeling, ETL processes, SQL, and Python.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Senior Supply Chain Data Scientist at MKS Inc.?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. MKS Inc. may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Supply Chain Data Scientist role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Supply Chain Data Scientist remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Senior Supply Chain Data Scientist role at MKS Inc.?
- This is a senior Senior Supply Chain Data Scientist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.