PALO IT - Data Intelligence Expert
Your profile & role on the project YOU: â€¢ Thrive on challenge. When was the last time you failed? â€¢ Are curious & always learning. What are you up to right now? â€¢ Can deal with constant change.
When were you last surprised? â€¢ Have mastered at least one skill of your trade but youâ€™re not defined by it. What can you teach us? Can you wear many hats? YOU AGAIN: â€¢ Help train and develop an advanced analytics team, to drive an increase in Data and Analytics capability of the company and its clients. â€¢ Act as thought leader both internally and externally to drive use of Big data technologies and analytics methodologies.
â€¢ Work closely with the sales team, to meet clients/prospects and introduce our services within the Big Data space. â€¢ Write proposals and set up POC for clients and prospects. â€¢ Be the ambassador of the company by attending relevant conferences, networking with industry leaders, and seeking appropriate speaking opportunities.
â€¢ Identify use cases allowing to take advantage of AI & Machine learning capabilities â€¢ Define data science approaches that fit with clientsâ€™ business challenges, using stateof- the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner â€¢ Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets â€¢ Communicate algorithms results, limits and potential for improvement in a meaningful way STILL YOU: â€¢ 10 years' Business Intelligence / Big Data / Analytics experience. â€¢ Familiar with: o Relational databases, including Microsoft SQL along with analysis tools such as SAS, Python, MatLab, R o Hadoop - HDFS, MapReduce, Hive, Pig, Storm, Flume - distributed versions of Hadoop, Kafka, ElasticSearch, Storm and Spark. o NoSQL - Cassandra, MongoDB, HBase, Redshift, Riak, Neo4j, Redis, DynamoDB.
o Advanced Analytics - Modelling for predictive & prescriptive analytics using R, SAS, SPSS o Technology available in public clouds, such as AWS Kinesis, RedShift, SageMaker etc o Good Knowledge Of Supervised/Unsupervised machine learning techniques and algorithms o Experience in advanced data science techniques such as Deep learning, Reinforcement learning, NLP o Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc. o Experience with machine learning frameworks(e.gscikit-learn, SparkMLlib, Caffe, TensorFlow) and/or data science platforms (e.
g. SAS, Dataiku) o Exposure to data viz tools and/or charting libraries (eg.Tableau,Qlik,D3.
js,GGplot) â€¢ Proven experience planning and implementing global analytics and business intelligence strategies. â€¢ History of building effective business partnerships within organisations across sectors and industries. â€¢ Ability to communicate a vision and purp....