Data Scientist NLP Focussed

As a Data Scientist at Siemens Infrastructure Buildings Software, you will play a crucial role in the semantic enrichment of building data points, collaborating closely with ontology experts. You will have the opportunity to work on diverse projects, from developing advanced NLP models to building end-to-end machine learning solutions on cloud platforms. If you are passionate about turning complex data into actionable insights and eager to make a tangible impact, this role is perfect for you.

**Your Responsibilities:** - **Strategic Collaboration:** Partner with stakeholders to understand business objectives and develop robust data science strategies. - **Model Development:** Design and implement advanced machine learning and statistical models to solve complex business challenges. - **NLP for Semantic Enrichment:** Apply NLP techniques to extract and enrich unstructured building data points, working with ontology experts. - **Data Preparation & Exploration:** Conduct in-depth data analysis, data cleansing, and feature engineering, including text-based data. - **Insight Generation:** Utilize data mining and machine learning techniques to extract insights from large datasets. - **Predictive & Prescriptive Solutions:** Develop predictive and prescriptive models to support business decision-making. - **IoT/IIoT Expertise:** Handle IoT data and apply anomaly detection for multi-sensor systems. - **Forecasting Mastery:** Use traditional machine learning methods and Deep Neural Networks for forecasting. - **Statistical Rigor:** Conduct statistical analysis and hypothesis testing to evaluate model effectiveness. - **Cloud-Based ML Systems:** Develop machine learning systems on cloud platforms like AWS or Azure. - **Effective Communication:** Communicate findings to technical and non-technical stakeholders through reports and presentations. - **Deployment & MLOps:** Apply CI/CD processes for product deployment. - **Technical Proficiency:** Understand Dockerization and REST APIs for efficient deployments. - **Continuous Learning:** Stay updated on the latest trends in data science, machine learning, AI, and NLP. - **Software Development:** Engage in software development using Python.

**Your Qualifications:** - **Experience:** 5+ years in data science with a proven track record of deploying ML models. - **NLP Expertise:** Experience in NLP techniques like text classification and entity recognition. - **Education:** Masters or Ph.D. in Data Science, Computer Science, Statistics, or related field. - **Programming Skills:** Strong Python skills and experience with NLP libraries. - **Domain Knowledge:** Exposure to industrial engineering or building management systems is preferred. - **Tool Proficiency:** Proficient in data science tools and libraries. - **Analytical Acumen:** Strong analytical and statistical skills. - **Collaboration & Proactivity:** Team-oriented with a proactive mindset. - **Communication Skills:** Excellent verbal, written, and presentation skills.

Join Siemens Infrastructure Buildings Software and contribute to impactful projects that drive efficiency and sustainability in building management. Experience continuous learning, work in a collaborative culture, and access cutting-edge technologies in AI, machine learning, and NLP. Be part of a diverse team shaping the future of smart infrastructure worldwide. As a Data Scientist at Siemens Infrastructure Buildings Software, you will play a crucial role in the semantic enrichment of building data points, collaborating closely with ontology experts. You will have the opportunity to work on diverse projects, from developing advanced NLP models to building end-to-end machine learning solutions on cloud platforms. If you are passionate about turning complex data into actionable insights and eager to make a tangible impact, this role is perfect for you.

**Your Responsibilities:** - **Strategic Collaboration:** Partner with stakeholders to understand business objectives and develop robust data science strategies. - **Model Development:** Design and implement advanced machine learning and statistical models to solve complex business challenges. - **NLP for Semantic Enrichment:** Apply NLP techniques to extract and enrich unstructured building data points, working with ontology experts. - **Data Preparation & Exploration:** Conduct in-depth data analysis, data cleansing, and feature engineering, including text-based data. - **Insight Generation:** Utilize data mining and machine learning techniques to extract insights from large datasets. - **Predictive & Prescriptive Solutions:** Develop predictive and prescriptive models to support business decision-making. - **IoT/IIoT Expertise:** Handle IoT data and apply anomaly detection for multi-sensor systems. - **Forecasting Mastery:** Use traditional machine learning methods and Deep Neural Networks for forecasting. - **Statistical Rigor:** Conduct statistical analysis and hypothesis testing to evaluate m