layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Staff Data Scientist - AI Engineering & Productivity at General Motors

Shape scientific direction, and ensure methodological quality and operational robustness used across the suite of products that you are responsible for.
Grow the technical capabilities of the scientist community within the AI Engineering and Productivity organization through exploration of new methods and technologies, cross-functional knowledge sharing, mentorship, internal reviews, and establishment of reusable methods and frameworks.
Drive results on time and within budget, managing risks, and ensuring methodological and operational quality across products that you oversee to generate significant and measurable business impact.
Work cross-functionally across data engineering, delivery teams, software delivery, other business units and beyond to drive product development, management and results; and
Influence stakeholders and leaders by translating technical tradeoffs, risks and opportunities into clear business decisions.
Your Skills & Abilities (Required Qualifications)
8+ years working with and 3+ years leading advanced analytics , AI/ML and/or operations research initiatives .
Demonstrated thought leadership surrounding use of innovative methodologies and approaches to solving business problems.
Deep expertise across multiple AI/ML and analytics domains ( LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods , etc.), with a preferred focus on LLMs.
Expertise in Python and other cloud-based data science platforms ( Databricks preferred), and proficiency in SQL ; Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot , Glean, Databricks Genie , etc.
Demonstrated ability to frame ambiguous high-value business problems into tractable analytical strategies and measurable outcomes; Strong presentation and communication skills.
M.S. degree in operations research, engineering, computer science, applied statistics, physics, or related field. Equivalent additional experience may substitute for an advanced degree.

Staff Data Scientist - AI Engineering & Productivity

Employer job description

The Role

What You’ll Do

What Can Give You a Competitive Advantage (Preferred Qualifications)

Why Join Us

Benefits Overview

About this listing

Listing check

Similar jobs

Similar jobs