Note one (1): we do not disclose client until we are invited to an interview.
Note two (2): As always, do not post to any job boards.
Note three (3): we do not work with H1b visas as we do not provide client amendment letters.
Note four (4): must have LinkedIn profiles WITH picture – client is declining all who do not have this (LI profile must match CV)
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NO Healthcare finance exp will work. try someone with furtune 50 clients exp
I want to send 2-3 resumes on this.
We have 30+ resumes for this and we thank you.
UPDATE, 10/08/26: only two candidates have any of this and they are not "advisory" or true "Principal" level:
- High-tech manufacturing or consumer technology product experience (think: handheld telecom manufacturing devices, such as: apple, tmo, etc.)
- Strong manufacturing experience with an emphasis on finished-goods/product forecasting
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If you have already, and only if you have already, submitted someone on this - and I mean a rockstar, please resubmit with the following CV (resume) updates.
This is a company-wide policy, and so, partner-wide, release and requirement.
We do not have the bandwidth for these lengthy (word vomit) resumes.
Moving forward as well as on your current/already submitted candidate:
We need ALL resumes:
1-2 (3 pages max (3 pages if they are in a leadership role, such as this DS role for example).
Summary needs to be 1-2 sentences max.
Each project or client should be 4-6 bullet points max.
Edu at bottom
Then certs
Tech skills below that
In this order
One name first and last, on top (not 3, 4, 5 names - in Corbel 14
All ollowing in Corbel 10
Custom margins:
.4, .4, .4 (top, bottom, left)
.2 (on right)
Last ask: if this is too much for you to do, or you need clarifications, please email me.
This is a RE-newed customer and they are giving us a chance to show them "what's up".
- 15+ years of experience.
- A Business driver, not a typical forecasting DS
- A hardcore mover and shaker...
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Principal Data Scientist – Demand Forecasting & AI
Remote role
Duration: 9-12 Months
Rate is $70-80/hr., all-inclusive
ONLY USC/GC
Position Overview
Seeking a senior, hands-on Principal Data Scientist with deep experience in demand forecasting within large-scale manufacturing environments. This role will support the design and development of an advanced forecasting solution that integrates data from multiple enterprise sources to determine finished-product production requirements by product/model.
The ideal candidate combines strong manufacturing forecasting expertise with advanced data science, AI/ML, solution design, and hands-on prototyping skills.
Key Responsibilities
- Gather and translate business forecasting requirements into technical designs and solutions
- Design forecasting models focused on finished products and product/model-level production requirements
- Integrate and analyze data from multiple enterprise sources, such as SAP, Salesforce, multiple ERP/CRM points.
- Apply statistical forecasting, machine learning and AI techniques to improve forecast accuracy and capabilities
- Design and build functional prototypes from initial requirements through testing
- Perform hands-on development, validation and unit testing
- Leverage Generative AI/LLM technologies where applicable, including MCP and RAG
- Integrate enterprise data with LLM-based applications and forecasting solutions
- Communicate designs, findings and recommendations to business and technical stakeholders
Required Qualifications
- 15+ years of relevant experience in data science, forecasting, advanced analytics, AI/ML and related disciplines
- Significant hands-on experience designing and developing demand forecasting solutions
- High-tech manufacturing or consumer technology product experience (think: handheld telecom manufacturing devices, such as: apple, tmo, etc.)
- Strong manufacturing experience with an emphasis on finished-goods/product forecasting
- Experience working within large, complex enterprise environments
- Strong knowledge of demand forecasting, production planning and related supply-chain processes
- Advanced statistical modeling, machine learning and predictive analytics experience
- Experience working with SAP and data from multiple enterprise systems
- Ability to independently assess requirements and develop technical solution designs
- Strong hands-on development, prototyping, testing and unit-testing experience
- Strong business and technical communication skills
Highly Preferred
- AI/ML-based demand or production forecasting experience
- Generative AI and LLM application development experience
- Model Context Protocol (MCP) experience
- Retrieval-Augmented Generation (RAG) experience
- Experience integrating enterprise data sources with LLMs
- Experience with model training, fine-tuning and/or grounding
Ideal Candidate
A senior practitioner who developed deep forecasting expertise within a sophisticated, large-scale manufacturing organization and can operate across business requirements, solution architecture and hands-on development. This is not a purely advisory role. The successful candidate must be able to understand the forecasting problem, design the solution, build a working prototype, and test the solution independently.
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MANDATORY SUBMISSION REQUIREMENTS
(No exceptions — incomplete submissions will be deleted; no tables, no truncated emails, no script, etc.)
For quick screening and submission, please email me ALL of the following details:
- First and Last name as it appears on your passport:
- REQUIRED: Anything we should know about you for presentation (this is your sales pitch):
- Reason you are looking for a change (detailed explanation):
- Comm skills (1-10):
- US Work Status:
- Resume in MS Word:
- Education and pertinent certs - degree, year, university:
- Availability to start (remote):
- Hourly rate, all-inclusive (1099 or C2C only at this time):
- Email and phone number:
- LinkedIn Profile (must have Professional headshot -no banner):
- Current location (city & state):
- TEAMS/video interview availability (PST timings):
- Two Professional MANAGER references with:
- Full name:
- Phone number:
- Professional email:
- Project name:
- Reporting relationship / work performed together: