Tech Digital
Job Title
Experience level required 10+ years Mandatory required skills NLTK, SpaCy, Data Science Platforms (Dataiku, H2o, Azure) Preferred/Desired skills Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or tool. The job details are focused on a senior role that requires extensive experience and proficiency in various data science and big data technologies. The candidate must have a deep understanding of natural language processing libraries like NLTK and SpaCy, and be adept at using data science platforms such as Dataiku, H2o, and Azure. While big data technologies like Hadoop, Hive, and Spark are preferred, the role also values the ability to gather, interpret, and manipulate both structured and unstructured data to drive business analytics.
Experience level required 10+ years Mandatory required skills NLTK, SpaCy, Data Science Platforms (Dataiku, H2o, Azure) Preferred/Desired skills Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or tool. The job details are focused on a senior role that requires extensive experience and proficiency in various data science and big data technologies. The candidate must have a deep understanding of natural language processing libraries like NLTK and SpaCy, and be adept at using data science platforms such as Dataiku, H2o, and Azure. While big data technologies like Hadoop, Hive, and Spark are preferred, the role also values the ability to gather, interpret, and manipulate both structured and unstructured data to drive business analytics.