Senior Scientist

at  General Motors

JOB DESCRIPTION

Remote: This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.

YOUR SKILLS & ABILITIES (REQUIRED QUALIFICATIONS)

• Master’s Degree or Ph.D. in Data Science, Analytics, Operations Research, Engineering, Statistics, Economics, Computer Science, Applied Mathematics or another quantitative field
• Minimum five years of experience as a Data Scientist developing, deploying, and monitoring performance of large analytic data sets and machine learning based models
• Proficient writing code using Python or R and developing SQL queries, running models in Spark, working with big data tools like Hadoop, IBM Elastic Storage System, or equivalent, and visualizing data using Power BI or Tableau or other
• Hands-on experience developing and deploying models using MLops framework utilizing Databricks /Azure services ( Synapse, Azure Data Factory, Power BI) or AWS tools (SageMaker, Glue, EMR) or GCP (Dataflow, Big Query, Cloud Run)
• Capable of working with diverse technical teams to produce analytical dataset pipelines and user interfaces
• Text analytics and NLP (natural language processing) experience in a corporate setting is a plus.
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
• Strong listening and communications skills
• Highly collaborative work style
• Ability to evaluate the big picture and provide meaningful business insights and actions
  Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
  The salary range for this role is $93,000 to $149,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

THE ROLE:

The Applied Analytics & Insights – Internal Business Functions team is focused on execution-based analytics to help GM achieve better business outcomes through contextualized solutions with targeted actions. The individual will work as a member of a multi-disciplinary team of various experience levels that frame opportunities, wrangle the necessary data and create end-to-end analytical pipelines, develop user interfaces for analytical insights, and build POC and production models in support of better business decisions. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.

WHAT YOU’LL DO:

• Work as a member of a cross-functional team to propose and implement high-impact data driven analytic solutions that address challenges across internal business functions
• Apply Data Science and Modeling techniques to drive data driven decision making and solve complex problems:
• Build predictive/prescriptive models and machine-learning algorithms
• Analyze large amounts of diverse information to discover trends and patterns
• Undertake preprocessing of structured and unstructured data
• Monitor and sustain model effectiveness
• Present complex information using data visualization techniques
• Work with diverse technical teams to provide analytical dataset pipelines and user interfaces to ensure project deliverables fulfill business needs and timing
• Create technical documents for models and processes
• Present complex information using data visualization techniques and data storytelling
• Create repeatable and scalable code and processes for improving development/execution efficiency.