Data Science Architect - Warehouse Intelligence Platform

Cincinnati, OH, US • Posted 3 days ago • Updated 3 days ago

Full Time

No Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

Artificial Intelligence
Data Science
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Forecasting
Supply Chain Management
Warehouse

Summary

Job Description

Lead the architecture and development of AI/ML-driven capabilities for KPI’s Warehouse Intelligence Platform. This role is expected to productize data science and operational intelligence capabilities across warehouse execution and supply chain workflows, including customer-facing PoCs, optimization, forecasting, anomaly detection, and advanced decision support.

Roles and responsibilies

Define and architect AI/ML solutions for the Warehouse Intelligence Platform Identify and prioritize high-value warehouse intelligence use cases Build and guide development of models for forecasting, anomaly detection, optimization, and operational insights Design real-time / near-real-time intelligence solutions integrated with operational platforms Partner with product, engineering, and business stakeholders to convert use cases into deployable solutions Support customer-facing PoCs, demos, and executive-level solution presentations Establish scalable model deployment, MLOps, and monitoring practices Drive adoption of data science into productized platform capabilities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10493205
Position Id: 8919221
Posted 3 days ago

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Cincinnati, Ohio

•

Today

Requirement details: Role- Data Science Architect Warehouse Intelligence Platform Location: Cincinnati, OH (Onsite) Contract: 12+ Months Job Description: Master s in Data Science, Computer Science, Industrial Engineering, Operations Research, etc. 7+ years in applied data science with production AI and ML Strong Python (pandas, Pytorch/ TensorFlow, scikit-learn), SQL, experience with experimentation and statistical inference. Ability to work with event-driven data (timestamps, state transitions,

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Contract, Third Party

Depends on Experience

Technical Lead MLP Software Engineer

Cincinnati, Ohio

•

Today

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and dis

Full-time

USD 126,820.00 - 149,200.00 per year

AI/ML Engineer

Remote

•

4d ago

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Full-time

90,000 - 150,000

Data Science Engineer / Data scientist

Remote

•

4d ago

8 10 years of overall data science experience required along with 4-5 years working in manufacturing domain.Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.Data Engineering Skilled in bui

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Contract

$70 - $80

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Data Science Architect - Warehouse Intelligence Platform

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