Ford Motor Company

Data Scientist, AI/ML, Generative AI

Ford Motor Company

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowApacheAWSCloudETLGoogle Cloud PlatformPythonPyTorchSQLTensorflow

About the role

  • We are the movers of the world and the makers of the future; role within Global Data Insight & Analytics advising leadership.
  • This job is a U.S. based HYBRID position and requires a minimum of 4 days onsite at the Dearborn MI office.
  • Collaborate with sustainability and regulatory compliance teams to identify new data sources and explore their potential use in driving business results.
  • Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
  • Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, time series, LLM, and more.
  • Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development.
  • Utilize SQL extensively for data extraction, transformation, and loading (ETL) from various relational databases.
  • Collaborate with data engineers to ensure robust data infrastructure and explore novel data sources.
  • Monitor and maintain deployed AI/ML models, ensuring their ongoing performance, accuracy, and reliability.
  • Analyze and interpret complex datasets to identify trends, patterns, and insights that inform model development and business decisions.
  • Communicate technical concepts and analytical results effectively to both technical and non-technical stakeholders.
  • Work independently with minimal guidance, taking ownership of projects and delivering results.
  • Foster a collaborative team environment and stay updated with the latest advancements in AI, machine learning, and data science technologies.

Requirements

  • Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
  • 3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment.
  • Strong proficiency in Python for data science and machine learning.
  • Expertise in SQL for data querying, manipulation, and database interaction.
  • Strong skills in data acquisition, algorithm design, and model development and refinement.
  • Experience with big data technologies, cloud-based data platforms (e.g., GCP, AWS), and business intelligence tools (e.g., Power BI, Streamlit, Plotly Dash).
  • Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
  • Excellent oral, written, and interpersonal communication skills.
  • Preferred: Ph.D. in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
  • Preferred: 5+ years of experience in data science and analysis, including leadership or mentoring roles.
  • Preferred: Significant experience in Generative AI, including ML frameworks, algorithms, and practical implementation.
  • Preferred: Experience in NLP, deep learning (e.g., TensorFlow, PyTorch), or recommendation systems.
  • Preferred: Experience building and managing data pipelines, including orchestration tools (e.g., Apache Airflow, Kubeflow) or DBT.
  • Preferred: Experience in sustainability and regulatory compliance domain is a plus.
  • Preferred: Certifications in Google Cloud Platform (GCP) or other cloud platforms.
  • Preferred: Experience with agile development methodologies and version control systems (e.g., Git).
  • Preferred: A record of publications or presentations in recognized journals or conferences.