Data Scientist leveraging machine learning to develop personalized customer experiences at Capital One. Collaborating with cross - functional teams using advanced technologies across billions of customer records.
About the role
- Data Scientist focusing on Generative AI applications and engineering problem-solving at Ford. Collaborating with cross-functional teams to innovate and improve technology solutions in the automotive sector.
Responsibilities
- Architect, develop, and deploy end-to-end agentic full-stack Generative AI (GenAI) applications that solve complex real-world problems, with a specific focus on improving engineering challenges and inefficiencies.
- Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS), ensuring efficient deployment and maintenance of AI solutions.
- Lead the integration of new cloud technologies and AI tools (e.g., Vertex AI) into our workflows, continuously evaluating their potential and articulating their business value to drive innovation and efficiency.
- Develop intuitive and responsive front-end user interfaces that enable seamless interaction with agentic AI systems and effectively translate complex outputs into actionable insights.
- Acquire a deep understanding of vehicle engineering problems, translating them into appropriate mathematical representations and AI/ML solutions (classification, prediction, intelligent automation).
- Ensure the overall quality and integrity of data and solutions throughout the development lifecycle, from data collection and cleaning to model deployment.
- Provide training and support for implemented AI tools and solutions to business partners, ensuring their successful adoption and ongoing value realization.
- Collaborate across the business to understand IT and business constraints.
Requirements
- Bachelor’s degree in Computer Science & Engineering, similar or equivalent combination of relevant education and experience.
- 2+ years of experience building full-stack applications in production environments, with proficiency in JavaScript/TypeScript, React, HTML and backend frameworks including Next.js, Node.js, Python, or Go
- 1+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL) and building scalable API services using frameworks such as Flask or FastAPI.
- 1+ year experience deploying and maintaining applications in cloud-native environments (e.g., AWS, Azure, GCP)
- 1+ year experience working with DevOps tools (Docker, Kubernetes, Terraform, etc.)
- Leveraging and integrating cloud-based AI tools like Vertex AI into production systems.
- A strong passion for evaluating, championing, and integrating new technologies and tools, particularly within GCP, into existing workflows, with the ability to clearly articulate and justify their business value and impact.
- Exceptional collaboration skills, with the ability to effectively interface between technical development teams and business stakeholders, understanding and navigating both IT and business constraints.
- Comfortable working in ambiguous environments where problems are not always well-defined, and solutions require innovative thinking.
- Masters degree in Computer Science & Engineering, similar or equivalent combination of relevant education and experience.
- 5+ years of Python development experience, specifically for: Advanced data manipulation and analysis using libraries such as Pandas.
- Machine Learning model development, including Natural Language Processing (NLP), and utilizing deep learning frameworks like PyTorch, TensorFlow, and Keras.
- 3+ years of hands-on experience developing and deploying solutions on major cloud platforms, including Google Cloud Platform (GCP) or Amazon Web Services (AWS).
- 3+ years of Front-End Development experience using modern web technologies like React, JavaScript, and HTML, to build intuitive user interfaces for AI applications.
Benefits
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist focusing on model risk management at Capital One, leveraging advanced technologies for data - driven decision - making. Collaborating with diverse teams on risk identification and mitigation strategies.
Associate Data Scientist leveraging data, AI, and analytics to support decision - making at Instructure. Collaborating with teams to uncover insights and drive better learning experiences.
Intern in Data Science at BMW Group working on data analysis and machine learning models for supply chain improvements. Collaborating with experts to develop innovative solutions using AI.
Working student in Data Science supporting the development of advanced methods at BMW Group. Involves dashboard creation, data analysis, and cross - department collaboration.
AI Engineering leader tasked with implementing Gen AI solutions for Hyatt. Collaborating cross - functionally to innovate and enhance the guest experience through data - driven decisions.
Senior Data Scientist leading advanced data modeling initiatives to automate and transform processes at Farmers. Collaborating with business leaders to deliver AI/ML solutions that enhance efficiency and decision - making.
Leads Data & IA teams at Sicredi to enhance the analytical culture and drive value generation. Collaborates with various teams to implement effective data science practices.
Data Scientist at Instructure using data to improve learning outcomes through analytics. Collaborating cross - functionally to drive insights for product strategy and growth initiatives.
Data Science & Analytics Intern developing data - driven insights and models for business stakeholders. Supporting technical model development and business analytics in Financial Planning and Analysis.