Siemens is seeking a Data Scientist to collect, clean, and interpret various data sets to uncover trends, patterns, and actionable insights to address key marketing and business challenges.
Requirements
- Strong programming expertise in Python and/or R, with applied experience in machine learning and data science.
- Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, and LightGBM.
- Experience deploying models in cloud platforms (AWS, Azure, GCP) using MLOps workflows for scalability and reliability.
- Expertise in NLP, large language models, and recommendation systems applied to marketing and customer engagement use cases.
- Familiarity with martech platforms and data sources, including Salesforce, Eloqua, Adobe Experience Cloud, and intent data providers.
- Advanced SQL skills and ability to manage and analyze large-scale structured and unstructured datasets.
- Strong foundation in experiment design, causal inference, and A/B testing to measure AI model impact.
Responsibilities
- Design, build, and deploy AI agents and machine learning applications that address key marketing and business challenges.
- Scope, prioritize, and deliver high-impact AI/ML use cases focused on marketing performance, customer engagement, and operational efficiency.
- Develop, train, and validate models across NLP, computer vision, predictive analytics, and other advanced techniques.
- Collaborate with marketing leaders to translate strategic needs into scalable AI-driven solutions.
- Partner with cross-functional teams—including engineering, product, and analytics—to operationalize AI applications in production.
- Ensure deployed AI systems achieve high levels of reliability, scalability, and business impact through rigorous monitoring and optimization.
- Lead adoption of AI across the marketing organization through training, demos, and proof-of-concept initiatives.
Other
- Bachelor's degree or higher in a related field (not explicitly mentioned but implied)
- Ability to translate technical AI concepts into clear business cases and communicate effectively with executives.
- Proven track record of driving enterprise adoption of AI/analytics and delivering applications that produced measurable business outcomes.
- Must be willing to work in a dynamic environment and collaborate with cross-functional teams.
- Must be able to work with a diverse group of people and have a strong understanding of marketing analytics.
