Remote Lead Data Scientist(Strong NLP Needed) Full Time

Hello ,

This is Bharath from Innovative InfoTech, We have a below requirement with one of our Direct client, please go through the job description, share your updated resume.

Job Title: Lead Data Scientist

Location: Remote / NY/NJ

Duration: 18-24mth+

Job Description:

· M.S in Computer Science, Statistics, Machine learning, Applied Math, PhD desirable

· 8+ years of experience in engineering supervised and unsupervised learning systems

· Proven experience in cloud development (GCP) and machine learning development life cycle

· Expertise building deep learning NLP models (Embeddings, Transformers, Transfer Learning)

· Experience in data quality: scraping, munging, tagging/annotation, lexicons, curating training data

· Experience with distributed data pipelines (Spark, Google Cloud Data Flow)

· AutoML NLP is highly desirable

· Worked with data Relational and NoSQL database repositories

· Strong hands-on programming experience in Python, Java

· Expertise in deep learning frameworks for NLP tasks (TensorFlow 2.0, Keras, NLP packages)

· Experience in REST-based web service development

· Experienced in agile development and tools (Jenkins -CI/CD, Jira, Docker, Kubernetes)

· Experience with explainability techniques of AI modes is a huge plus

· Financial experience is preferred

· Ability to learn new technologies and rapidly prototype newer concepts

· Top-down thinker, excellent communicator, and great problem solver

AirisDATA is a niche system integration company focused exclusively on predictive analytics solutions. We take pride in our technical excellence backed by a team of data engineers and data scientists who architect, build, and deploy data products for large scale data deployments. We are committed to providing our customers with a competitive edge, reduced total cost of ownership, and a high return on investment.

Ideal Candidate

The ideal candidate will have expertise in NLP, deep learning (Keras, TensorFlow), distributed data engineering, cloud development (GCP) and proficiency with Python. This person will be tasked to architect and build language models (extraction, summarization, classification, understanding, generation, sentiment analysis) to make better sense of massive sets of unstructured data.

Job Requirements:

• Develop and implement statistical predictive models and machine learning algorithms
• Develop predictive models and machine learning algorithms using advanced methodologies
• Develop statistical learning models for data analysis
• Design and develop data mining and machine learning models and algorithms
• Using machine learning and statistical techniques
• Develop statistical models for data analysis
• Demonstrate an advanced understanding of data mining, predictive analytics, machine learning and data visualization
• Support analytics and machine learning model development
• Implement data driven business solutions using advanced statistical methods and machine learning techniques
• Clean and explore data and implement statistical/machine learning models
• Create machine learning data models that develop new insights over time
• Providing advanced predictive data analytics using big data and data science technology for healthcare innovation
• Generate analytics on big data
• Solve statistical, machine learning, analytical and data mining problems
• Leverage statistical data modeling, data mining and machine learning techniques to provide solutions to new business problems
• Deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets
• Optimizing classifiers using machine learning techniques
• Building the coolest machine data analytics systems
• Using various types of algorithms and machine learning modeling techniques
• Define and develop machine learning and data mining strategies

Thanks And Regards

Bharath E

CareerBuilder