Ford Motor Company
Senior Data Scientist - Design Cost and Complexity Analytics
Ford Motor Company, Dearborn, Michigan, United States, 48120
Join us at Ford, where we are creating the future of mobility! As a member of the Global Data Insight & Analytics team, you will play a vital role in shaping how we use data to transform our operations and decision-making processes. We are looking for a talented and experienced Data Scientist to work on Design Cost and Complexity Analytics.
If you thrive on challenges and enjoy collaborating with technical and business teams, this is the perfect opportunity for you. Your expertise in machine learning and data analysis will help us drive evidence-based decisions that make a real impact.
Key Responsibilities:
Develop a comprehensive understanding of vehicle engineering challenges and represent them mathematically. Utilize tools like SQL, BigQuery, and Python to manage and analyze large, complex datasets. Create and implement innovative business solutions using data engineering and programming skills. Deliver analytical products through statistical analysis and machine learning methodologies. Effectively communicate analytical findings to diverse teams, including technical and non-technical audiences. Build trust with stakeholders by consistently delivering quality results. Provide training and maintenance support for tools implemented to business partners. Collect user feedback to continuously enhance analytic products. Qualifications:
Bachelor's degree in Engineering, Statistics, Data Science, Computer Science, or a related field. 3+ years of relevant experience in Python, Google Cloud Services, or similar tools. 3+ years of experience in acquiring and transforming data using SQL or BigQuery. 3+ years working with real-world data, including data cleaning and wrangling. 1+ years of experience with Machine Learning Operations. Familiarity with GCP or other cloud systems. We value organization, self-initiation, and a collaborative spirit. If you are inquisitive, proactive, and keen on learning new tools and techniques, we encourage you to apply! Ford offers a fantastic set of benefits, including: Comprehensive medical, dental, vision, and prescription drug coverage. Flexible family care days and paid parental leave. Tuition assistance and employee resource groups. Paid time off for community service and a generous holiday schedule. This position is a salary grade 8, with details on compensation and benefits provided at the time of hire. We are an Equal Opportunity Employer, and all qualified applicants will be considered for employment regardless of their background.
Develop a comprehensive understanding of vehicle engineering challenges and represent them mathematically. Utilize tools like SQL, BigQuery, and Python to manage and analyze large, complex datasets. Create and implement innovative business solutions using data engineering and programming skills. Deliver analytical products through statistical analysis and machine learning methodologies. Effectively communicate analytical findings to diverse teams, including technical and non-technical audiences. Build trust with stakeholders by consistently delivering quality results. Provide training and maintenance support for tools implemented to business partners. Collect user feedback to continuously enhance analytic products. Qualifications:
Bachelor's degree in Engineering, Statistics, Data Science, Computer Science, or a related field. 3+ years of relevant experience in Python, Google Cloud Services, or similar tools. 3+ years of experience in acquiring and transforming data using SQL or BigQuery. 3+ years working with real-world data, including data cleaning and wrangling. 1+ years of experience with Machine Learning Operations. Familiarity with GCP or other cloud systems. We value organization, self-initiation, and a collaborative spirit. If you are inquisitive, proactive, and keen on learning new tools and techniques, we encourage you to apply! Ford offers a fantastic set of benefits, including: Comprehensive medical, dental, vision, and prescription drug coverage. Flexible family care days and paid parental leave. Tuition assistance and employee resource groups. Paid time off for community service and a generous holiday schedule. This position is a salary grade 8, with details on compensation and benefits provided at the time of hire. We are an Equal Opportunity Employer, and all qualified applicants will be considered for employment regardless of their background.