Data Scientist Nlp

hace 2 meses


Barcelona, España Cognizant A tiempo completo

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.

At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story: we are looking for a** Data Scientist NLP **to join our AIA Team.

**Key Responsibilities**:
As a NLP Engineer, who specializes in Text Analytics, within the Artificial Intelligence and Analytics (AIA) Group, you will be responsible for the design, development and testing of machine learning/deep learning models for one of the largest healthcare institutions in the industry. The program also involves full data analytics project life cycle (data ingestion, data staging, data pre-processing, data modelling (ML preferable), results database design, visualization.

**Essential Skills**:

- Graduated with a higher degree in computer science, information technology, information science, or similar fields
- 4+ years of experience in designing, developing, and implementing machine learning/deep learning models (supervised or unsupervised) preferably applied to text data
- Strong programming experience in Python
- Experienced with commonly used NLP techniques such as text preprocessing, entity extraction, entity normalization, text classification, text clustering, text similarity, text embeddings (pre-training and fine-tuning).
- Familiar with commonly used NLP, machine learning, and deep learning libraries such as PyTorch, Keras, SKLearn, Transformers, SparkNLP, Gensim, SpaCy, NLTK, and so-forth
- Good understanding of document indexing systems such as Elasticsearch and/or Solr
- Working knowledge of version control (git), and continuous integration/deployment (CI/CD). RESTful APIs and Dockers are a plus.
- Working experience in services offered by cloud technologies (AWS preferable)
- Experience with distributed computing with Apache Spark is a double plus

**Nice to Have Skills.**
- Experience with Global (Onsite / Nearshore / Offshore) delivery model.
- Validation of newly onboarded sources/app.
- Suggesting the correct data flow as per business process.
- Best Practices as per experience.
- Optimizing the overall architecture if that doesn't seem to be optimum.
- Implement AWS Data Engineering concepts
- Collaborate with different business units and stakeholders on new/existing requirements and implement the required solutions.
- Data modelling expertise
- Agile and Waterfall Methodologies.

**What We Offer**:
Apart from participating in multiple projects and the opportunity of working with the industry’s latest technologies, Cognizant strives to be a great company to work for and you should expect a competitive base salary and various benefits, such as:

- International working environment with diverse team
- Flexible working hours and hybrid or remote mode.
- Yearly Bonus.
- Training and career development opportunities: Career path locally and internationally. Specific trainings in both technical and soft skills.
- Private healthcare and additional life insurance.
- Gympass.
- A culture of Respect and Human Empowerment.
- Company sponsored activities and partnerships.
- Opportunity to be part of a rapidly expanding global organization, within multicultural teams.
- Pleasant and inspiring working atmosphere.
- Inclusion and diversity in practice.
- Employee referral program in place.
- Employee volunteering programs and opportunities.
- Access to different internal events, communities and initiatives.

**Why Cognizant**
Cognizant has transformed her clients to deliver the solutions using Digital way of working. In this position, you would leverage your knowledge to shift from traditional way of Agile-DevOps to cloud native adoption. While doing so you will add value to the client for improving productivity, quality, and time to market in a cost effective way. You will be working in highly productive SAFe teams and modernize the software delivery processes while focusing on people and technologies.

LI-DV1

**Employee Status **:Full Time Employee

**Shift **:Day Job

**Travel **:No

**Job Posting **:Jan 03 2023

**About Cognizant



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