<p>We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?</p> <p>Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.</p> <p>This job is a U.S. based HYBRID postion and requires a minimum of 4 days onsite at the Dearborn MI office.</p> <p>The Strategy & Enterprise Analytics team, part of the Global Data Insight & Analytics (GDI&A) organization, is seeking an experienced Data Scientist with a strong background in AI/ML to develop and deliver innovative data analytics models, tools, and services. As a key member of our team, you will collaborate with business partners in the sustainability and regulatory compliance areas to identify new data sources and explore their potential use in driving business results.</p> <p>About Us:</p> <p>In Global Data Insight & Analytics (GDI&A), we harness the power of data and artificial intelligence to navigate Ford Motor Company through the disruptiveness of the information age. We're a team of innovators who strive to realize the enterprise's goals, reveal hidden opportunities, and achieve data superiority.</p> <p>About You:</p> <p>We're looking for a seasoned Data Scientist with 3+ years of experience in AI/ML, preferably with some experience in Generative AI. You're a humble and collaborative individual who thrives in a fast-paced environment. You're passionate about developing and delivering data analytics and machine learning models that drive business impact.</p> <p>The Strategy & Enterprise Analytics team within Ford's Global Data Insight & Analytics (GDI&A) is seeking a Data Scientist with 3+ years of AI/ML experience to develop innovative analytics solutions. The role involves collaborating with sustainability and compliance teams to leverage new data sources for business impact. Ideal candidates are collaborative, passionate about data, and experienced in Generative AI.</p> <p>Responsibilities:</p> <ul> <li>Acquire a deep understanding of business problems and translate them into appropriate technical solutions. </li><li>Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment. </li><li>Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, time series, LLM, and more. </li><li>Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development. </li><li>Utilize SQL extensively for data extraction, transformation, and loading (ETL) from various relational databases. </li><li>Collaborate internally and with data engineers to identify new and novel data sources, ensure robust data infrastructure, and explore their potential use in developing actionable business results. </li><li>Monitor and maintain deployed AI/ML models, ensuring their ongoing performance, accuracy, and reliability. </li><li>Analyze and interpret complex datasets to identify trends, patterns, and insights that inform model development and business decisions. </li><li>Communicate technical concepts and analytical results effectively to both technical and non-technical stakeholders. </li><li>Work independently with minimal guidance, taking ownership of projects and delivering results. </li><li>Foster a collaborative team environment, showing the highest respect for team members and their contributions. </li><li>Stay updated with the latest advancements in AI, machine learning, and data science technologies. </li></ul> <p>Responsibilities:</p> <ul> <li>Acquire a deep understanding of business problems and translate them into appropriate technical solutions. </li><li>Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment. </li><li>Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, time series, LLM, and more. </li><li>Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development. </li><li>Utilize SQL extensively for data extraction, transformation, and loading (ETL) from various relational databases. </li><li>Collaborate internally and with data engineers to identify new and novel data sources, ensure robust data infrastructure, and explore their potential use in developing actionable business results. </li><li>Monitor and maintain deployed AI/ML models, ensuring their ongoing performance, accuracy, and reliability. </li><li>Analyze and interpret complex datasets to identify trends, patterns, and insights that inform model development and business decisions. </li><li>Communicate technical concepts and analytical results effectively to both technical and non-technical stakeholders. </li><li>Work independently with minimal guidance, taking ownership of projects and delivering results. </li><li>Foster a collaborative team environment, showing the highest respect for team members and their contributions. </li><li>Stay updated with the latest advancements in AI, machine learning, and data science technologies. </li></ul>