Data Scientist - Text Analytics and Natural Language Processing

Key Skills

AWS, Deep Learning, Docker, Gensim, Java Programming, Keras software library, Machine learning techniques, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, PySpark, Python Programming, PyTorch, RESTful, spaCy, SPARK Programming, SQL, Transformer

Job Description

A career at our company is an ongoing journey of discovery: our 60,300 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others.

Who you are: As the Data Scientist, you will work in our global Reporting and Analytics team of the CFO Digital Strategy & Realization Organization. Our mission is to architect, design and refines analytics solutions supplying substantial and effective answers to business problems. We provide Digital Leadership for Analytics Initiatives across the Group Functions such as Finance, Procurement and HR. With our expertise, we support initiatives to produce practical and impactful analytic solutions for our customers. Operating in an agile environment, we closely work with internal and external partners like our Product Owners, Scrum Masters, Functional Experts, Data Architects, Data Scientists and IT Engineers to deliver sustainable analytical solutions and drive informed business decisions.

Your focus will be on performing analytics in the area of Natural Language Processing (NLP), Machine Learning and Predictive Modelling, from gaining data and business understanding through data preparation and modeling, model evaluation to the result presentation and the solution deployment. In your role, you will apply a variety of models on large-scale datasets to address various business problems using advanced techniques. You will write high-quality production code, build and maintain robust, scalable project pipelines, document and validate the approach, set up processes to monitor, operate and continually improve the efficiency and performance of the implemented solutions.

With your passion for data and analytics, let’s create new business insights from unstructured and structured data!

Your Profile

• Graduated with a higher degree in computer science, information technology, information science, or similar fields
• 5+ years of working experience in designing, developing and implementing machine learning/deep learning models (supervised or unsupervised), preferably applied to the text data
• Strong programming skills in Python
• Excellent knowledge of commonly used NLP, machine learning, and deep learning libraries such as PyTorch, Keras, Transformers, SKLearn, Gensim, SpaCy, or NLTK.
• Experience in preprocessing and parsing text data stored in various formats such as PPT, DOC, PDF, and especially scanned documents using OCR technology
• Good understanding of document indexing systems such as Elastic search or Solr
• Expertise in agile software development, version control (git), continuous integration/deployment (CI/CD)
• Experience with distributed computing with Apache Spark (pyspark)
• Knowledge of microservices, RESTful APIs, Dockers and AWS Container Services is a plus
• Experience in services offered by cloud technologies, preferably AWS.
• Proficient in English in written and verbal communication