GM Marketing Applied Sciences team needs to develop analytics-driven solutions to help GM Marketing Organizations achieve their business goals, focusing on inferential and prescriptive methods for website, email, and media measurement, and creating scalable products across owned & paid channels to support the transition to EVs.
Requirements
- 5 or more years proficiency in one or more core analytical tools / suites / languages such as SAS, Python, R, Spark Scala and understand their limitations
- Proficient in one or more analytical methodologies such as numerical optimization, econometric modeling and forecasting, machine learning and text analytics
Responsibilities
- You build predictive models and machine-learning algorithms
- You analyze large amounts of information to discover trends and patterns
- Undertake preprocessing of structured and unstructured data
- Monitor and sustain model effectiveness
- Combine models through ensemble modeling
- Present complex information using data visualization techniques
- Propose solutions and strategies to business challenges that drive business impact
Other
- This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], 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.
- 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.
- The expected base compensation for this role is: $125,000- $205,100.
- An incentive pay program offers payouts based on company performance, job level, and individual performance.
