• Develop and maintain analytical and Machine Learning models to solve business problems; • Perform data exploration, cleaning and preparation, including feature engineering; • Analyze data and generate actionable insights to support decision-making; • Work closely with business stakeholders to understand requirements and translate them into analytical solutions; • Evaluate model performance and propose continuous improvements; • Document analyses, models and results clearly; • Support model productionization in partnership with data engineering / MLOps teams; • Participate in technical discussions and contribute to the evolution of team best practices.

• Serve as the technical and business point of reference for analytical and data science initiatives; • Translate complex business problems into hypotheses, analyses, and data-driven solutions; • Lead the definition of analytical approaches and modeling aligned with the company's strategy; • Connect data, models, and results to real business impact (revenue, risk, efficiency, customer); • Work closely with partner teams to gain a deep understanding of pain points and opportunities; • Evaluate, interpret, and communicate results clearly to executive audiences; • Provide technical guidance to other data scientists and elevate the team's analytical capabilities; • Ensure best practices in modeling, validation, monitoring, and responsible model use; • Support strategic decisions with data-driven recommendations and critical insight.

• Lead and architect the research strategy for Applied GenAI initiatives, establishing technical standards and frameworks for enterprise-wide implementation • Drive innovation in GenAI applications across business units, developing novel approaches for diverse use-cases while ensuring consistent quality and performance • Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies that can scale across the organisation • Mentor and guide Data Scientists while fostering a culture of excellence and knowledge sharing across teams • Lead cross-functional initiatives to standardise GenAI practices, collaborating with senior leadership to align technical strategy with business goals and ensure successful adoption • Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership • Establish best practices, technical standards, and evaluation frameworks for GenAI implementation that can be adopted company-wide • Design and implement processes for democratising GenAI capabilities, making them accessible and usable across different teams and skill levels • Create documentation, guidelines, and training materials to enable successful GenAI adoption throughout the organisation

Job Description The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Senior Data Scientist will work as part of this multi-disciplinary team that will be driving solution design, development, and deployment of analytic models in support of marketing strategies. They are knowledgeable in methodology and practice of marketing analytics with an emphasis on inferential and prescriptive methods. This individual has experience with website, email, and media measurement. This person will work closely with teammates in Marketing Applied Sciences and stakeholders in GM’s Marketing organization to ensure objective performance evaluation and optimization of media strategy. This senior data scientist will assist in the research and development of advanced marketing models, drawing insights, and creating scalable products across owned & paid channels. They will be part of a team 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 diverse, cross-functional team (technical and non-technical) to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams, ensuring that project deliverables fulfill business needs and timing.   - Possess contextual business knowledge and functional domain expertise in the advertising and media space as well as familiarity with marketing media measurement techniques including site/clickstream measurement, A/B testing, and various industry measurement media platforms.   - Partner with CRM, Marketing, and Data Science teams to design and execute advanced measurement frameworks that evaluate campaign effectiveness, incremental revenue impact, and consumer engagement across lifecycle stages. - Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: preprocessing multisource data; and presenting complex information using data visualization techniques.   - Demonstrate an ability for using data, analytics, and insights driving business-impact.   - Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.   - Effectively communicate through telling a succinct, data-driven story in any forum, tailoring delivery to a wide range of stakeholder levels from analyst to senior executive.   - Apply advanced modeling and analytics techniques to analyze customer journey data across CRM touchpoints including email, messaging, and digital engagement channels. Identify opportunities to improve customer acquisition, retention, and engagement strategies. Optimize campaign targeting, channel strategy, and customer journey orchestration. Your Skills & Abilities (Required Qualifications) - Masters’s Degree and 5+ years of experience as a data Scientist or in a related role, developing, deploying, and monitoring performance of large analytic data sets and machine learning based models  - 2+ years of experience working with CRM, marketing analytics, or lifecycle management. - Expertise with fundamental statistical concepts and considerations for selecting an appropriate modeling technique.  - Expertise with statistical concepts and methods for campaign measurement, including uplift/net lift modeling, treatment/control designs, and causal inference. - Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages.   - Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.   What Will Give You a Competitive Edge (Preferred Qualifications): - Master’s Degree or Ph.D. in Marketing Science, Econometrics, Statistics, Psychometrics, (Bio)Statistics, Applied Mathematics, Operations Research, or another quantitative field.  - Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable.   - Familiarity with advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice  (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression.  - Prior experience with paid, earned, and owned media and/or marketing analytics  The salary range for this role is ($129,400 - 198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 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. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.