Senior Data Scientist
Work From Home - United States, United States
Job Description
This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
The Role
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.
- 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.
Your Skills & Abilities (Required Qualifications)
- 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
- Master’s Degree or Ph.D. in Marketing Science, Econometrics, Statistics, Psychometrics, (Bio)Statistics, Applied Mathematics, Operations Research, or another quantitative field.
- 2+ years …
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Must report to office 3 times a week if within 50 miles of specified cities Not eligible for relocation Not eligible for relocation benefits
Benefits/PerksBonus potential Collaborative team environment Comprehensive compensation plan Dental Employee Assistance Program Flexible schedule Flexible Spending Accounts GM vehicle discounts Health and wellbeing benefit programs Health savings account Incentive pay program Life Insurance Medical Medical, Dental, Vision Paid Time Off Paid Vacation Paid vacation & holidays Relocation benefits Retirement savings Retirement savings plan Sickness and accident benefits Tuition Assistance Tuition assistance programs Vehicle discounts Vision Work From Home
Tasks- Collaborate with marketing teams
- Data visualization
- Optimize media strategy
- Performance evaluation
- Testing
A/B Testing Advertising Analytics Azure Benefits Compensation Databricks Data Science Data Visualization Decision making Econometrics Experimentation Forecasting Machine Learning Marketing Marketing Analytics Mathematics Measurement Media measurement Media strategy ML Modeling Monitoring Multi-touch attribution Numpy Optimization Pandas Performance Evaluation Python PyTorch R Recruiting Research Scikit-learn Spark SQL Statistical analysis Statistics Statsmodels Strategy TensorFlow Training Visualization Writing
Experience5 years
EducationApplied mathematics Business Degree Marketing Marketing science Master's degree Mathematics Operations research Ph.D. Quantitative field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9