We partner with the world's most valuable brands to build digital solutions that transform businesses. As a digital native, we bring a 29-year track record of accelerating business impact through complete and scalable digital solutions.
With a global presence of 6,000+ professionals in strategy, research, data science, design, and engineering, we unlock top-line growth, improve customer experience, and drive operational efficiency.
General Description We are looking for professionals with experience as data scientists focused on NLP (natural language Processing) to impact the business with AI initiatives in the American health industry.
Responsabilities :
- Data exploration in order to validate data requirements for NLP context and data quality- NLP preprocessing such as Tokenization, Lexical Analysis, Syntactic Analysis, Semantic Analysis, Pragmatic Analysis- Define the best NLP model aligned with business expected outcomes- Train a model- Model Mathematical Validation such as accuracy, precision, recall, F1-score, and ROUGE score.
Document model development processes, methodologies, and results for internal and external stakeholders.- Text Classification and Sentiment Analysis : Understanding of text classification techniques and sentiment analysis methodologies.
This includes techniques like traditional machine learning classifiers and deep learning models.- Evaluate and improve the performance of NLP models through rigorous experimentation and analysis.
- Topic Modeling : Familiarity with topic modeling techniques like Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF) for discovering abstract topics from text data.
- Sequence-to-Sequence Models : Understanding of sequence-to-sequence models for tasks like machine translation, text summarization, and question answering.
Requirements for this challenge : - Advanced oral and written communication skills in English.- Experience with international project-Experience acting as a Data Scientist in NLP projects-Program Language Python with a focus on the following packages : NLTK (Natural Language Toolkit)spaCyGensim- Experience with techniques such as Topic Extraction, Summarization, Categorization and Sentiment Analysis- Problem-solving and Creativity : Ability to think critically, troubleshoot issues, and creatively apply different NLP techniques to solve real-world problems.
- Ethical Considerations : Awareness of ethical considerations related to NLP, including bias in data and models, privacy concerns, and potential societal impacts.
- Demonstrate proficiency in all aspects of the data science pipeline, including data gathering,
preprocessing, model development, validation, and deployment.
- Use state-of-the-art techniques for handling, analyzing, and visualizing large datasets.Employ SQL, Python, and other tools to exploit data in the provision of a clear,strategic vision.
- Nice to Have Experience with Data AugmentationExperience with Transformers, BERT, Named Entity Recognition (NER)Experience with data engineeringExperience with MLOps (such as proficiency in Azure ML, Azure DevOps, Azure Container, Apps, and other relevant Azure services for efficient, scalable, and secure model deployment and management)Experience with databricksExperience with PII, CCPA, HIPAA data protection Our benefits : - Health plan and dental plan;
- Meal allowances;- Childcare assistance;- Extended parental leave;- Gympass- Annual profit-sharing distribution;- Life insurance;
- Partnership with an online mental health platform;- CI University;- Discount Club;- Support Program : legal; financial;
- physiotherapy; psychological guidance; nutritionist and more;- Pregnancy course and responsible parenthood;- Partnership with online course platforms- Platform for language learning;
- And many others.#LI-JP3#Midsenior CI is an equal-opportunity employer. We celebrate and appreciate the diversity of our CI' identities and lived experiences.
We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
At CI, we recognize that innovation and transformation only happen in diverse, inclusive,
and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas.
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