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We are seeking a highly skilled Data Scientist to join our Global Data Insight & Analytics team at Ford Motor Company. As a key member of our team, you will play a critical role in helping us define tomorrow's transportation by leveraging your expertise in data analysis, machine learning, and analytics.
Key Responsibilities- Develop and implement data models, algorithms, and tools to process large-scale data and extract insights that inform business decisions.
- Collaborate with cross-functional teams to understand business problems and develop data-driven solutions.
- Design and implement machine learning models to improve obstacle detection, object tracking, and related perception challenges.
- Develop perception pipelines that fuse camera, LIDAR, and RADAR data for 2D and 3D object detection, scene segmentation, classification, tracking, event classification, and motion predictions.
- Research and develop algorithms for sensor fusion and object association across multi-sensor modalities.
- Perform multi-target tracking through the lifecycle of tracked objects, including creation, splitting, and merging, and termination of tracked objects.
- Enhance deep learning networks with multi-GPU and multi-node capabilities.
- Interact with internal stakeholders to understand business problems and develop data-driven solutions.
- Automate algorithms in production through standardization of process and authoring best practices.
- Produce and disseminate technical and non-technical reports that detail the successes and limitations of each project.
- 5+ years of experience working in a team environment, supporting customer/end users.
- 5+ years of hands-on experience in Python programming for data analysis and machine learning.
- 5+ years of experience implementing and maintaining successful cross-functional demand and integration management.
- 5+ years of experience with agile and lean workflow management methodologies (e.g., Kanban).
- 5+ years of experience with project management tools to manage user requirements, stories, and tracking the delivery process (Confluence/Jira or Rally).
- English proficiency (written and verbal).
- 2+ years of experience with Product Driven Organization (PDO) Model.
- 2+ years of experience leading a team of data scientists.
- 2+ years of experience leading an analytic team in a product owner role.
- 4+ years of hands-on experience with data modeling, data mining, machine learning algorithms, or statistical analysis.
- Demonstrated success in delivering analytics products, with exposure to machine learning and advanced data analysis techniques.
- Agile/Scrum certification or equivalent experience is a plus.
- Experience with product lifecycle management tools and analytics platforms.
- Excellent leadership, communication, and interpersonal skills. Ability to thrive in a fast-paced, collaborative, and innovative environment.
