Duales Studium in Data Science und Künstliche Intelligenz mit Bachelorabschluss (DHBW Mannheim). Fokus auf Digitalisierung, Prozessoptimierung und KI - gestützte Modelle.
About the role
- Data Science/AI Manager leading analytical and AI/ML product teams for Ford's data-driven solutions. Mentoring and developing talent while ensuring high-quality technical outcomes.
Responsibilities
- Provide expert technical guidance and mentorship to data scientists & software engineers in the product team.
- Actively contribute to code reviews, design discussions, algorithm selection, and architecting scalable data science solutions.
- Lead, mentor, and develop a high-performing team of highly skilled data scientists, software engineers, and ML engineers.
- Contribute to the development and implementation of the team's innovation strategy, focusing on new product development and leveraging emerging technologies.
- Lead engagement with internal business partners and efficiently translate business requirements into data & analytical problem formulations.
- Clearly and concisely communicate technical information to both technical and non-technical audiences.
- Lead the problem formulation, research, development, and implementation of GenAI to enhance existing solutions and create new innovative applications.
- Work effectively with various teams and stakeholders to achieve business objectives.
Requirements
- Master's degree (PhD preferred) in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field.
- 5+ years of hands-on experience applying supervised and unsupervised machine learning algorithms, deep learning architectures, and statistical modeling techniques (Automotive OEM experience preferred).
- 5+ years of leading a team of cross-functional technical experts.
- Proficiency in R and Python, along with experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn, XGBoost).
- Experience with cloud-based platforms (e.g., GCP) and data related technologies (e.g., SQL, Spark, Hive).
- Strong technical & people leadership, communication, and collaboration skills.
- Understanding of business principles and critical thinking skills to translate business needs into impactful data science solutions.
- Experience with NLP, deep learning, neural network architectures, computer vision, reliability, survival analysis and anomaly detection techniques.
- Familiarity with computationally intensive statistical methods, Jira, system architecture principles.
- Google certifications on developing and deploying AI/ML models on GCP.
- Experience with various software development methodologies (Agile, DevOps), CI/CD pipelines, and testing frameworks. Proficiency in one of AngularJS, ReactJS, or any other front-end technologies.
Benefits
- Professional development opportunities.
- Health insurance.
- Flexible work arrangements.
- Paid time off.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Intern in Data Science at Wealthsimple, Canada's largest fintech company. Contributing to innovative projects in financial services while receiving mentorship and support.
Data Scientist leveraging AI and advanced analytics for data - led decisions at Zurich. Collaborating across teams to enhance the data - driven strategy and supporting business needs through data.
Data Scientist II focusing on fraud and model governance at Bank of America. Interpreting datasets, developing strategies, and applying analytics for decision making.
Data Scientist responsible for interpreting large datasets and managing fraud prevention strategies at Bank of America. Collaborating with various teams to improve risk management and reduce fraud losses.
Technical Product Owner supporting the Small Business Data Science team to enhance analytical solutions. Collaborating with stakeholders to align data science strategies with business goals.
Data Scientist supporting cross - functional AI/ML initiatives at Royal Caribbean Group. Designing, developing, and delivering analytical solutions with a focus on machine learning.
Health Data Scientist combining expertise in health communication, data analytics, and behavioral research. Joining a dynamic team to tackle global health challenges using data - driven methodologies.
Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
Data Scientist at Capital One using ML to revolutionize customer engagements through personalization. Collaborate with elite teams to build cutting - edge recommendation systems.