Bachelor's or Master's degree in Data Science, Computer Science, or a related field., 5+ years of experience in predictive modeling and data analysis., Proficiency in Python and experience with data science tools like R, PyTorch, and TensorFlow., Strong skills in machine learning, natural language processing, and data visualization..
Key responsabilities:
Develop predictive models and algorithms for data analysis.
Engage with domain experts and senior leaders to deliver interpretable results.
Utilize big data technologies on platforms like AWS and Google Cloud.
Create AI chatbots using Amazon LEX Services and handle large datasets for insights.
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5+ years of industry experience in predictive modeling, data science, and analysis
Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory
Excellent pattern recognition and predictive modeling skills
Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j
Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory
Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models
Work with NoSQL databases such as MongoDB, Couch DB, Redis, Cassandra
Experience with data mining and data cleaning
Experience with data visualization and reporting techniques
Leverage cutting edge big data technologies on AWS, Google Cloud and Microsoft Azure
Engage with domain experts as well as senior leaders and engineers to effectively deliver interpretable results
Leverage Amazon LEX Services to develop AI chatbots
Required profile
Experience
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.