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As a data scientist in our team we expect you to lead engagements with our customers. Identify potential opportunities in applying Data Mining methods & techniques to solve existing business problems
- Highlight both risks & business benefits in using Data driven approaches
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- Put across a roadmap for customers & also highlight technology requirement
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- Define scope, effort & risks in project engagements & lead execution in small team
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- Actively consult, conduct pre - sales, develop POCs, patriciate incubationacceleratorproduct programmes
- Introduce and follow good development practices, innovative frameworks, and technology solutions that help business move faster.
Work with cross functional teams effectivel
- 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.
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- Experience in creating statistical models andor optimization frameworks for improving processesproductsprofits
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- Should possess working knowledge of visualization concepts along with any one of the software like Tableau, Shiny, Spot fire or D3 - JS
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- Knowledge in Text Mining, Semantic Web, elastic search, Amazon cloud, would be an added advantage.
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- Experience on Big Data implementation with Big data work flows MapR, Cloudera, Hortonworks, Kafka, Spark, Sqoop, HDFS - Hive etc,
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- Translate analytic insights into concrete, actionable recommendations for business or product improvement.
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- 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.
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- Should have independently handled a project technically and provided directions to the other Team Members.
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- Able to persuade stakeholders and champion effective techniques through development.
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- Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
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- Demonstrating thought leadership and subject matter expertise in all relevant topics by coming up with papers, publications and Patents
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- Adapt communications and approaches to conclude technical scope discussions with various Partners, resulting In Common Agreements.
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- Experience working with tight deadlines
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- Have suitable qualifications and industry certifications
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- Skills we're looking for
- Expertise with one of the following scripting languages;
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- Python, R, Knime, Mat - lab, Java, Mat - labOctave
- Hadoop ecosystem, H2o, elastic search, spark
- Tech savy and willing to work with open - Source Tools
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- Proven track record and experience with statistical modelingdata mining algorithms such as
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- Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc
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- 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.
- 8 - 10 years with 2+ years of MS or PhD banking domain, fintech, automotive, retail, e - commerce, airlines. We thrive for authority. This can only be achieved by working with the projects and create a All this is in place so you can accelerate your career. The most challenging assignments
At Xebia you find like - minded colleagues who are forerunners in their field, are used to get customer organizations moving and have the courage to leave the beaten track. By sharing knowledge with customers and communities, we constantly broaden our expertise and decide what the next cool thing is to work on.
We challenge you to accelerate your personal development. Curious We like to tell you more or invite you to one of our events