Data And Analytics_AI

You have the opportunity to work as a Data Scientist with the following responsibilities and qualifications: **Role Overview:** As a Data Scientist, you will be required to have excellent knowledge and expertise in 2 or more of the following areas: Statistical Modelling, Machine Learning, Operations Research, Neural Networks, and Deep Learning. You should have hands-on experience in coding with Python, Java, R, or SAS. Additionally, robust programming skills in design and implementation are essential for this role. It is important that you are proficient in Spark SQL, SparkML, Spark ML Pipeline, Spark API, Spark Datasets, RDD, Hive QL, Python, and Hadoop. Knowledge and experience in Deep Learning libraries such as TensorFlow, Caffe, NLP Libraries like OpenNLP, Weka, and ML Libraries including sci-kit-learn and Theano would be advantageous for this position. **Key Responsibilities:** - Excellent knowledge and expertise in 2 or more of the following areas: Statistical Modelling, Machine Learning, Operations Research, Neural Networks, Deep Learning - Hands-on experience in coding on Python, Java, R, or SAS - Robust programming skills in design and implementation - Proficiency in Spark SQL, SparkML, Spark ML Pipeline, Spark API, Spark Datasets, RDD, Hive QL, Python, Hadoop - Knowledge and experience in Deep Learning libraries (TensorFlow, Caffe, etc.), NLP Libraries (OpenNLP, Weka), ML Libraries (sci-kit-learn, Theano) **Qualifications Required:** - Good understanding of Statistical Modelling, Machine Learning, Operations Research, Neural Networks, Deep Learning - Hands-on experience in coding with Python, Java, R, or SAS - Strong programming skills in design and implementation - Proficiency in Spark SQL, SparkML, Spark ML Pipeline, Spark API, Spark Datasets, RDD, Hive QL, Python, Hadoop - Knowledge and experience in Deep Learning libraries (TensorFlow, Caffe, etc.), NLP Libraries (OpenNLP, Weka), ML Libraries (sci-kit-learn, Theano) would be advantageous. You have the opportunity to work as a Data Scientist with the following responsibilities and qualifications: **Role Overview:** As a Data Scientist, you will be required to have excellent knowledge and expertise in 2 or more of the following areas: Statistical Modelling, Machine Learning, Operations Research, Neural Networks, and Deep Learning. You should have hands-on experience in coding with Python, Java, R, or SAS. Additionally, robust programming skills in design and implementation are essential for this role. It is important that you are proficient in Spark SQL, SparkML, Spark ML Pipeline, Spark API, Spark Datasets, RDD, Hive QL, Python, and Hadoop. Knowledge and experience in Deep Learning libraries such as TensorFlow, Caffe, NLP Libraries like OpenNLP, Weka, and ML Libraries including sci-kit-learn and Theano would be advantageous for this position. **Key Responsibilities:** - Excellent knowledge and expertise in 2 or more of the following areas: Statistical Modelling, Machine Learning, Operations Research, Neural Networks, Deep Learning - Hands-on experience in coding on Python, Java, R, or SAS - Robust programming skills in design and implementation - Proficiency in Spark SQL, SparkML, Spark ML Pipeline, Spark API, Spark Datasets, RDD, Hive QL, Python, Hadoop - Knowledge and experience in Deep Learning libraries (TensorFlow, Caffe, etc.), NLP Libraries (OpenNLP, Weka), ML Libraries (sci-kit-learn, Theano) **Qualifications Required:** - Good understanding of Statistical Modelling, Machine Learning, Operations Research, Neural Networks, Deep Learning - Hands-on experience in coding with Python, Java, R, or SAS - Strong programming skills in design and implementation - Proficiency in Spark SQL, SparkML, Spark ML Pipeline, Spark API, Spark Datasets, RDD, Hive QL, Python, Hadoop - Knowledge and experience in Deep Learning libraries (TensorFlow, Caffe, etc.), NLP Libraries (OpenNLP, Weka), ML Libraries (sci-kit-learn, Theano) would be advantageous.