PALO IT - Data Intelligence Expert



Your profile & role on the project YOU: • Thrive on challenge. When was the last time you failed? • Are curious & always learning. What are you up to right now? • Can deal with constant change.

When were you last surprised? • Have mastered at least one skill of your trade but you’re not defined by it. What can you teach us? Can you wear many hats? YOU AGAIN: • Help train and develop an advanced analytics team, to drive an increase in Data and Analytics capability of the company and its clients. • Act as thought leader both internally and externally to drive use of Big data technologies and analytics methodologies.

• Work closely with the sales team, to meet clients/prospects and introduce our services within the Big Data space. • Write proposals and set up POC for clients and prospects. • Be the ambassador of the company by attending relevant conferences, networking with industry leaders, and seeking appropriate speaking opportunities.

• Identify use cases allowing to take advantage of AI & Machine learning capabilities • Define data science approaches that fit with clients’ business challenges, using stateof- the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner • Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets • Communicate algorithms results, limits and potential for improvement in a meaningful way STILL YOU: • 10 years' Business Intelligence / Big Data / Analytics experience. • 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) • Proven experience planning and implementing global analytics and business intelligence strategies. • History of building effective business partnerships within organisations across sectors and industries. • Ability to communicate a vision and purp.

TechSkills Accelerator
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23 Nov 2019


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