Strategy and Enterprise Analytics Team provides insights and decision support tools to a broad range of business partners in sustainability and Eelectric vehicles. We drive to deliver the most value to Ford through critical thinking, AI/ML, big data analytics and optimization techniques on Google Cloud Platform (GCP). The team leverages advanced analytics and domain knowledge to develop analytics models, transformational decision-support tools, and services to:
Increase profit while meeting North American regulatory compliance Support strategic initiatives for electrification, especially in public charging, home power management, and energy services Design and build solutions that support holistic decision making at enterprise level (OGC)We are looking for a manager / product owner to lead a multi-skill team of data scientists, data engineers and software engineers in all phases of ongoing and future analytics services and product development, including problem formulation, data identification, model development, validation, and product launch. The candidate should have great independence, exceptional collaboration and leadership skills, and self-discipline to guide original applied research and choose appropriate methodologies to solve related problems. We are especially excited about candidates with supervisory experience, passion for hands-on work, strong technical skills and growth mindset who demonstrate a passion for developing talents and applying state-of-the-art solutions to novel and challenging problems.
Our team utilizes a diverse set of tools and methodologies from different technical fields including Machine Learning, Statistical Analysis, Simulation, Big Data platforms and more. We understand that you cannot be an expert in everything, and the set of techniques and technologies we are using today may change over time. Given the required qualifications, we are looking for candidates who are lifelong learners, driven, and curious.
Master’s degree in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or other data-related fields5+ years of domain experience in delivering analytics solutions in any of these areas (Sustainability / Regulatory, Electrification, Legal, Cycle Planning)10+ years of experience in analytics domain with 3+ years of supervisory experienceFamiliarity with SQL, Spark, Hive, and other big data technologiesFamiliarity with Google Cloud Platform, Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, Power BIDemonstrated performance in working on developing analytical models and deploying them in GCPStrong drive for results, sense of urgency, and attention to detailStrong verbal and written communication skills with the ability to present to cross functional levels of managementAbility to work in a fast-paced environment with global resources under short response times and changing business needsFamiliarity with NLP, Deep Learning, neural network architectures including CNNs, RNNs, Embeddings, Transfer Learning, and Transformers.BEV experience a plusDeep understanding of Agile & PDO processesSoftware delivery experience a plusLead a group of data scientists, data engineers, and software engineers, to solve exciting and meaningful problemsTranslate business needs into analytical problems, work hands-on along with the team, judge among candidate ML models, contribute towards best practices in model development, conduct code reviews, research state-of-the art techniques and apply them for the team and business needs.Develop and apply analytical solutions to address real-world automotive and Quality challengesInitiate and manage cross-functional projects, building relationships with business partners, and influencing decision makersAbility to work well under limited supervision and use good judgment to know when to update and seek guidance from leadershipCommunicate and present insights to business customers and executivesCollaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business resultsExplore emerging technologies and analytic solutions for use in quantitative model developmentDevelop and sustain a highly performing teamAbility to collaborate, negotiate, and work effectively with coworkers at all levelsWorks with Product Line Owner on creating demand and aligning the requirements to the Business demands