Data Scientist - NLP Focused @ Siemens

What You'll Do (Your Responsibilities):

As a Data Scientist, you will be instrumental in:

• Strategic Collaboration:Work closely with stakeholders to gain a deep understanding of business objectives and translate them into effective, scalable data science strategies.
• Model Development: Design, develop, and implement advanced machine learning and statistical models to address complex business challenges and deliver measurable value.
• NLP for Semantic Enrichment: Leverage Natural Language Processing (NLP) techniques to extract, classify, and semantically enrich unstructured building data, collaborating closely with ontology experts to ensure accuracy and consistency.
• Data Preparation & Exploration: Conducting in-depth exploratory data analysis, meticulous data cleansing, and insightful feature engineering to prepare datasets for analysis, including text-based data.
• Insight Generation: Exploring and using various data mining and machine learning techniques to extract valuable insights and discover hidden patterns from large datasets.
• Predictive & Prescriptive Solutions: Developing powerful predictive and prescriptive models, algorithms, and prototypes to directly support business decision-making.
• IoT/IIoT Expertise: Applying your solid understanding of handling IoT and IIoT data, including traditional use cases like anomaly detection for multi-sensor systems.
• Forecasting Mastery: Showcase your handson experience in forecasting using both traditional machine learning techniques and advanced deep neural network models.
• Statistical Rigor: Performing thorough statistical analysis, hypothesis testing, and A/B testing to rigorously evaluate the effectiveness of models and algorithms.
• Cloud-Based ML Systems: Gaining handson experience in building endtoend machine learning systems on leading cloud platforms such as AWS or Azure.
• Effective Communication: Clearly communicating findings and insights to both technical and non-technical team members through compelling reports, presentations, and data visualizations.
• Deployment & MLOps: Understanding and applying CI/CD processes in product deployment, ensuring seamless delivery of solutions.
• Technical Proficiency: Demonstrating an understanding of Dockerization and REST APIs for scalable and efficient deployments.
• Continuous Learning: Staying abreast of the latest trends and advancements in data science, machine learning, AI, and NLP technologies, identifying opportunities to apply them to improve business outcomes.
• Software Development: Engaging in hands-on software development, primarily with Python.

What You'll Bring (Your Qualifications):

We're looking for someone who can hit the ground running and grow with us!

• Experience: 5+ years of experience in data science and/or data analysis with a proven track record of successfully developing and deploying ML models and algorithms.
• NLP Expertise: Demonstrated experience with Natural Language Processing (NLP) techniques, including text classification, entity recognition, topic modeling, and semantic search.
• Education: A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Applied Mathematics, Computational Linguistics, or a closely related quantitative field. (B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with a good academic record will also be considered.)
• Programming Prowess: Strong hands-on programming skills in Python are crucial, with experience in relevant NLP libraries (e.g., NLTK, spaCy, Hugging Face, Gensim).
• Proven Experience: Exposure to the industrial engineering domain, building management systems, or experience working with structured/unstructured data in a sophisticated domain is highly preferred. Experience with ontologies or knowledge graphs is a significant plus.
• Tool Proficiency: Proficient in the use of various data science tools and libraries.
• Analytical Foresight: Excellent analytical and statistical skills to derive meaningful insights.
• Collaboration & Proactivity: A collaborative, team-oriented demeanour with a proactive attitude and a strong willingness to learn new technologies.
• Communication Skills: Excellent verbal, written, and presentation skills to articulate complex ideas clearly.