Job
Description
Role Overview: You will be joining the Strategy and Enterprise Analytics Team, which provides insights and decision support tools to various business partners in sustainability and electric vehicles at Ford. Your main focus will be to deliver value through critical thinking, AI/ML, big data analytics, and optimization techniques on Google Cloud Platform (GCP). Your role will involve leveraging advanced analytics and domain knowledge to develop analytics models, decision-support tools, and services aimed at increasing profit, supporting strategic initiatives for electrification, and designing solutions for holistic decision-making at the enterprise level. Key Responsibilities: - Lead a team of data scientists, data engineers, and software engineers to solve complex problems and translate business needs into analytical solutions. - Work hands-on with the team to develop and judge among candidate ML models, contribute to best practices in model development, conduct code reviews, and apply state-of-the-art techniques. - Develop and apply analytical solutions to address real-world automotive and quality challenges. - Initiate and manage cross-functional projects, build relationships with business partners, and influence decision-makers. - Communicate insights to business customers and executives, collaborate internally and externally to identify new data sources, explore emerging technologies for model development, and sustain a highly performing team. - Collaborate, negotiate, and work effectively with coworkers at all levels, and align requirements to business demands with the Product Line Owner. Qualifications: - Masters degree in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or related fields. - 5 years of domain experience delivering analytics solutions in areas such as Sustainability, Regulatory, Electrification, Legal, and Cycle Planning. - 10 years of experience in the analytics domain with 3 years of supervisory experience. - Familiarity with SQL, Spark, Hive, Google Cloud Platform, Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, Power BI. - Strong drive for results, urgency, attention to detail, verbal and written communication skills, ability to work in a fast-paced environment, and familiarity with NLP, Deep Learning, neural network architectures, and Agile & PDO processes. - Experience in BEV is a plus, as well as software delivery experience. Role Overview: You will be joining the Strategy and Enterprise Analytics Team, which provides insights and decision support tools to various business partners in sustainability and electric vehicles at Ford. Your main focus will be to deliver value through critical thinking, AI/ML, big data analytics, and optimization techniques on Google Cloud Platform (GCP). Your role will involve leveraging advanced analytics and domain knowledge to develop analytics models, decision-support tools, and services aimed at increasing profit, supporting strategic initiatives for electrification, and designing solutions for holistic decision-making at the enterprise level. Key Responsibilities: - Lead a team of data scientists, data engineers, and software engineers to solve complex problems and translate business needs into analytical solutions. - Work hands-on with the team to develop and judge among candidate ML models, contribute to best practices in model development, conduct code reviews, and apply state-of-the-art techniques. - Develop and apply analytical solutions to address real-world automotive and quality challenges. - Initiate and manage cross-functional projects, build relationships with business partners, and influence decision-makers. - Communicate insights to business customers and executives, collaborate internally and externally to identify new data sources, explore emerging technologies for model development, and sustain a highly performing team. - Collaborate, negotiate, and work effectively with coworkers at all levels, and align requirements to business demands with the Product Line Owner. Qualifications: - Masters degree in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or related fields. - 5 years of domain experience delivering analytics solutions in areas such as Sustainability, Regulatory, Electrification, Legal, and Cycle Planning. - 10 years of experience in the analytics domain with 3 years of supervisory experience. - Familiarity with SQL, Spark, Hive, Google Cloud Platform, Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, Power BI. - Strong drive for results, urgency, attention to detail, verbal and written communication skills, ability to work in a fast-paced environment, and familiarity with NLP, Deep Learning, neural network architectures, and Agile & PDO processes. - Experience in BEV is a plus, as well as software delivery experience.
