Data Scientist

Global Talent Resources
Global Talent Resources

Job Overview

ob Responsibilities Develop cutting edge text mining, text analytics and NLP machine learning algorithms Manage the creation, development, and iterative improvement to our multi-language training set for machine learning solutions that power our core product Deploy appropriate transfer learning techniques to improve training sets Create model comparison benchmarks and model selection processes Support the NLP engineers in model optimization and productization Help manage the crowdsourced data annotation partner to deliver on time and on budget Work with the Media team on creating and improving training data sets to train NLP models Liaising with the local-language analysts to ensure highest quality feedback loop into training set from ongoing client projects Manage strategy for media data collection and datasource merging for MLAI modeling Work on Media data scraping algorithms Help managing Media data providing vendors and partners Research latest developments in AI and NLP to keep innovating our solutions and offerings Professional Qualifications 3+ years of experience in Text Analytics and NLP modeling and processing from the creation of the dataset to the final model in production 3+ years of data science experience, developing machine learning models, including deep learning models Strong data pre-processing and data manipulation skills Data quality and data cleansing techniques Strong knowledge of Python and relevant to data science Python packages and tools, including data visualization Advanced data analytics, building models in Python, R, programming languages and libraries Experience in multiple toolslanguageframeworks within the Big Data (Hadoop, Spark, Hive, MongoDB, Neo4j, Hbase, Cassandra), and knowledge of SQL is a plus Understanding of Cloud Platforms (e.g. Azure IBM Google AWS) and ability to use them for developing, training and testing deep learning models Familiarity with TensorFlow, Keras, PyTorch Familiarity with autoML tools is a plus Understanding and experience of the principles of data strategy and architecture You will also need to have 3+ years’ track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations and produce clear deliverables Ability to develop new ideas into structured deliverables Strong analytical and problem-solving capabilities Strong stakeholder management and interpersonal skills Strong communication skills Desirable qualifications A technical background and an academic scientific degree in Mathematics, Computer Science, Data Science or similar M.Sc. or Ph.D. is a plusData Scientist 1

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