Senior Data Scientist – Supply Chain Optimization

pioneer it systems United State
Visa Sponsorship Relocation
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AI Summary

Lead supply chain optimization initiatives using data science to drive measurable business impact. Deploy production ML models and present findings to VP-level stakeholders. Must have strong Azure stack experience and proven track record of quantifiable business value.

Key Highlights
Production ML deployment with live models used by real end users
Supply chain domain expertise in demand forecasting, logistics, or optimization
Executive communication skills for presenting to non-technical VPs and driving adoption
Key Responsibilities
Deploy data science models to production for supply chain optimization
Present findings and recommendations to VP-level stakeholders
Prioritize competing data science use cases across senior leadership
Technical Skills Required
Production ML deployment Supply chain optimization Azure stack
Benefits & Perks
Visa sponsorship available
Relocation assistance provided

Job Description


Job Title: Senior Data Scientist – Supply Chain Optimization

Location: Deerfield Beach, FL (Onsite) Open for Relocation from day 1)

Duration: 12+ Months Contract

Start: ASAP

Visas: USC/GC/H4EAD/L2EAD/H1B

Job Description:

Opening for a Senior Data Scientist with a supply chain optimization focus in South Florida. What makes this one different: it's not a model-builder role. The client needs someone who can deploy to production AND present to VP-level stakeholders well enough to drive adoption of data science products. They've already screened multiple candidates and passed on all of them for soft skills and weak business impact storytelling.

Qualification

· Production ML deployment — models live, in use by real end users (not prototypes)

· Supply chain domain — demand forecasting, logistics, or optimization; automotive a plus

· Azure stack — Azure ML, Azure Synapse Analytics, Azure AI Foundry

· Executive communication — must be credible presenting to non-technical VPs and driving adoption

The bar for soft skills is high. If your candidate can't speak to quantifiable business impact in dollar terms and isn't comfortable in a room with senior leadership, they will not survive the interview.

Before we present anyone to the client, we need two quick pre-screen answers documented — non-negotiable:

1. How do you prioritize competing data science use cases when multiple senior leaders are all pushing for their projects first?

2. Describe a DS model you built that went to production and drove measurable business impact — what was the dollar value?


www.pioneeritsystems.com

Thanks,

Neeraj

It Resource Manager

Pioneer IT Systems

Email: neeraj@pioneeritsystems.com

Mobile : (425) 998-9954


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