
Senior Data Scientist
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: California • Missouri • United States
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Salary
💰 $129,400 - $212,300 per year
Job Level
About the role
- 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 and behavioral 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.
Requirements
- 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
- Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus
- Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages
- Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable
- Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
data-driven modeling techniquesmachine learningstatisticsdeep learningPythonSQLSparkscikit-learnNumPyPandas
Soft Skills
cross-functional teamworkdata storytellingcuriosityproject managementcommunicationanalytical oversightproblem-solvingexecution efficiencystakeholder engagementdelivery quality