Data Scientist Job in Xebia Academy Global

What we look for in you?

• Should possess working knowledge of visualization concepts along with any one of the software like Tableau, Shiny, Spot fire or D3-JS
• Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery and viewing experiences to identify critical product insights.
• Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits
• Knowledge in Text Mining, Semantic Web, elastic search, Amazon cloud, would be an added advantage.
  
• Experience on Big Data implementation with Big data work flows MapR, Cloudera, Hortonworks, Kafka, Spark, Sqoop, HDFS-Hive etc,
• Translate analytic insights into concrete, actionable recommendations for business or product improvement.
• Partner closely with business and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.
• Should have independently handled a project technically and provided directions to the other Team Members.
• Able to persuade stakeholders and champion effective techniques through development.
• Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
• Demonstrating thought leadership and subject matter expertise in all relevant topics by coming up with papers, publications and Patents
• Adapt communications and approaches to conclude technical scope discussions with various Partners, resulting In Common Agreements.
• Experience working with tight deadlines
• Have suitable qualifications and industry certifications

Skills we're looking for

• Expertise with one of the following scripting languages;
• Python, R, Knime, Mat-lab, Java, Mat-lab/Octave
• OpenNLP, WordNet, NLTK
• Hadoop ecosystem, H2o, elastic search, spark
• Tech savy and willing to work with open-Source Tools
• Proven track record and experience with statistical modeling/data mining algorithms such as
• Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc
• Machine learning, deep learning and graph mining.
• DOE, Forecasting, Segmentation, Uncertainty Analysis etc.
• Data Mining i.e. Text Mining, Classification Methods SVM, NN, etc
• Vector Space model for Unstructured Text
• Sentiment Analysis, Association Mining
• Human computer interaction speech, voice, emotions, etc.