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Senior Data Scientist, CRM
General MotorsSenior Data Scientist on Marketing Applied Sciences team developing analytics-driven marketing solutions. Collaborating with cross-functional teams for data-driven decision making on customer engagement strategies.
Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Master’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.
Benefits
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data-driven modeling techniquesA/B testingdata visualization techniquescampaign measurementuplift modelingtreatment/control designscausal inferencedata analysiscustomer journey analysismarketing analytics
Soft Skills
communicationproblem-solvingcuriositystakeholder engagementproject managementprioritizationcollaborationadaptabilityanalytical thinkingstorytelling
Certifications
Master’s Degree