Staff Data Scientist, Marketing Applied Sciences

Descripción

The Role

The Staff Data Scientist is a senior level role and an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in audience targeting methods used to identify and reach high-value customer segments. They excel in integrating data sources to enhance targeting precision and drive incremental lift. They also have demonstrated expertise in developing and applying customer segmentation and propensity models for optimizing marketing strategies.

This person will work closely with stakeholders in GM’s vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, objective performance evaluation, and optimization of audience activation that drive sales. You will be responsible for developing advanced marketing models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Our team is focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.

What You'll Do

• Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units
• Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems:
  • Create breakthrough solutions, performing exploratory and targeted data analyses
  • Undertake preprocessing of structured and unstructured data
  • Monitor and sustain model effectiveness
  • Present complex information using data visualization techniques
• Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing
• Identify long-term technical innovations while continuously improving execution efficiency
• Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection to drive consumer demand/high value behaviors and long-term customer engagement.
• Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
• Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive.
• Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff.

Your Skills & Abilities (Required Qualifications)

• Minimum seven years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models.
• Master’s Degree or Ph.D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field
• Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages
• Desired expertise in marketing analytics and advanced methods such as: Generalized Linear Models, panel data, mixed effects with Bayesian techniques, also classification and regression trees and simple regressions
• Prior experience with paid, earned, and owned media
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality

[Additional Description]

This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum

This job is not eligible for relocation benefits.  Any relocation costs would be the responsibility of the selected candidate.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#LI-CC1

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar.  Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades.  Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido. 

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a Careers.Accommodations@GM.com o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.