Job description

About the company Our client is a Series B AI company training custom frontier models to solve prediction and optimization problems for enterprise supply chains. The team has raised $60 million and is expanding its Applied AI function as customer demand grows. The role / why it matters As an Applied AI Scientist, you will be a trusted technical partner from the first customer demo through enterprise deployment. You will combine hands-on data science with clear communication to turn operational data into measurable business value. What you'll do • Understand customer operational challenges and communicate them to technical and business stakeholders. • Lead technical and value-focused demos and build custom prototypes and proofs of concept. • Analyze customer data using Python and SQL to quantify business impact. • Partner with customers during evaluations, pilots and implementations. • Support active deployments and help build the Applied AI team. What we're looking for • 3-8 years in data science, forward deployed engineering or solutions architecture. • Customer-facing experience managing enterprise deployments, pilots, demos or operational data challenges. • Ability to build custom demos and proofs of concept in Python and SQL. • Strong machine learning and data science fundamentals, including experience selling a product requiring an understanding of machine learning. • Experience at ML platforms, early-stage startups or leading consulting firms. • A bachelor's degree in a STEM or quantitative field. • Ability to lead demos that resonate with both technical and non-technical stakeholders. Bonus points • A hands-on builder mindset and comfort learning unfamiliar technologies. • Experience with retail, consumer products or supply chain data. Compensation and benefits • $170,000-$300,000 annual base salary. This role does not offer equity. • Health, dental and vision coverage, 401(k), commuter benefits and unlimited PTO. Location / work model Full-time, onsite five days per week in San Francisco. Candidates must be able to work onsite without relocation support. Visa transfers may be supported, including H1B transfers and OPT case by case.

Requirements

Must-haves

Understand customer operational challenges and communicate them to technical and business stakeholders.
Lead technical and value-focused demos and build custom prototypes and proofs of concept.
Analyze customer data using Python and SQL to quantify business impact.
Partner with customers during evaluations, pilots and implementations.
Support active deployments and help build the Applied AI team.
3-8 years in data science, forward deployed engineering or solutions architecture.
Customer-facing experience managing enterprise deployments, pilots, demos or operational data challenges.
Ability to build custom demos and proofs of concept in Python and SQL.
Strong machine learning and data science fundamentals, including experience selling a product requiring an understanding of machine learning.
Experience at ML platforms, early-stage startups or leading consulting firms.
A bachelor's degree in a STEM or quantitative field.
Ability to lead demos that resonate with both technical and non-technical stakeholders.

Nice-to-haves

A hands-on builder mindset and comfort learning unfamiliar technologies.
Experience with retail, consumer products or supply chain data.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsqlmachine learningml

Platform: workable
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto