Hiring: Applied Data Scientist Company: Siemens Digital Industries Software Location: Cincinnati, OH Job Posted Time: 2026-09-02 18:55:46 Target Skills & Keywords : AI, AWS, Azure, Flink, GCP, HBase, LLM, MLOps, Machine Learning, NLP, Neo4j, Neptune, OpenAPI, PyTorch, Python, RAG, TensorFlow About the job Experience: •3 - 5 years of proven experience in developing AI application with large language models (e.g., OpenAI, BERT, GPT-3/4) and natural language processing techniques. •10+ years of professional experience in the related fields including Software Development Life Cycle (SDLC) •5 years of proven experience in developing AI application with large language models (e.g., OpenAI, BERT, GPT-3/4) and natural language processing techniques. Qualifications: •Bachelor’s or Master’s degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field. •6-10+ years of professional experience in the related fields including Software Development Life Cycle (SDLC) •3 - 5 years of proven experience in developing AI application with large language models (e.g., OpenAI, BERT, GPT-3/4) and natural language processing techniques. •Strong background in knowledge representation and semantic technologies, including ontologies, RDF, OWL, and SPARQL. •Proficiency in programming languages like Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). •Excellent analytical and problem-solving skills, with a keen attention to detail. •Strong communication skills and the ability to work collaboratively in a cross-functional team environment. •Preferred Skills: •Experience with retrieval-augmented generation (RAG) frameworks or applications. •Experience with graph databases (e.g., Neo4j, AWS Neptune) and knowledge graph construction. •Familiarity with data integration, data cleaning, and linking methodologies. •Knowledge of MLOps practices, cloud platforms (AWS, Azure, GCP), and deployment of AI models in production. •Familiarity with knowledge base management, content indexing, and search optimization techniques. •Understanding of data governance, privacy, and security practices in the context of knowledge graphs and AI. Compensation: •The salary range for this position is $109,800 to $197,700 and this role is eligible to earn incentive compensation (5-10%). The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/ •Why us? •Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in indus Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!