Hybrid: This means the successful candidate is expected to report to their primary location (Warren, MI or Austin, Texas) three times per week, at minimum.
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 functionsApply Data Science and Modeling techniques to drive data driven decision making and solve complex problems:Build predictive/prescriptive models and machine-learning algorithmsAnalyze large amounts of diverse information to discover trends and patternsUndertake preprocessing of structured and unstructured dataMonitor and sustain model effectivenessPresent complex information using data visualization techniquesWork with diverse technical teams to provide analytical dataset pipelines and user interfaces to ensure project deliverables fulfill business needs and timingCreate technical documents for models and processesPresent complex information using data visualization techniques and data storytellingCreate repeatable and scalable code and processes for improving development/execution efficiency.Additional Job DescriptionYour 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 fieldMinimum five years of experience as a Data Scientist developing, deploying, and monitoring performance of large analytic data sets and machine learning based modelsProficient 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 otherHands-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 interfacesText 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 qualityStrong listening and communications skillsHighly collaborative work styleAbility to evaluate the big picture and provide meaningful business insights and actionsAbout GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join UsWe aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits OverviewThe goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.