layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

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

Staff Data Scientist at General Motors | LAYIQ

Developing industry leading analytics solutions including: Assessing existing analytic models and architectures, reviewing for gaps against business needs and industry best practices
Identifying detailed data needs, sources, and structure to support solution development
Determining the analytic approaches to be used and defining and applying the appropriate methodologies
Employing Proof-of-Concepts for exploratory and targeted data analyses, leading to breakthrough solutions
Ensuring integrity of the analytical solutions in terms of the underlying statistical and economic models and assumptions
Designing and developing project-specific models.
Architecting analytical tools to productionize cloud-based analytical models
Monitoring and sustaining model effectiveness
Your Skills & Abilities (Required Qualifications)
10+ years of experience in statistics, econometrics, forecasting, advanced analytics, or related quantitative fields
Bachelor’s degree AND Ph.D. required in a technical discipline, such as statistics, mathematics, computer science, economics, operations research, or a related quantitative field
Deep expertise in statistics, econometrics, forecasting, and predictive modeling
Strong command of model development, model validation, uncertainty quantification, and performance monitoring
Demonstrated ability to connect methodological choices to business decisions, operational constraints, and end-user impact
Advanced programming skills for analytical model development, data pipelines, and reproducible workflows
Strong data fluency across structured, time-series, and panel-style analytical data
Significant experience building or overseeing forecasting approaches used for planning, scenario evaluation, or business decision-making
Ability to translate economic, operational, or market signals into robust forecasting frameworks
Experience balancing statistical rigor with practical constraints, data limitations, and stakeholder timelines
Strong judgment in model comparison, feature selection, assumption management, and interpretation of results
Ability to understand complex business processes, and how business value is created. Based on that knowledge, propose analytic strategies and solutions that challenge and expand the thinking of the working team.
Ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information.
Ability to communicate analyses, status, results, and recommendations to business management and executives in business terms.

Staff Data Scientist

Employer job description

The Role

What You'll Do

What Can Give You a Competitive Advantage (Preferred Qualifications)

Compensation:

Why Join Us

Benefits Overview

About this listing