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  • Posted: Apr 13, 2018
    Deadline: Not specified
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  • We offer a wide range of services tailored to meet your specific needs. onsulting - Business analysis, research, vendor sourcing and IT advisory. Implementation - Solution implementation and integration on-premise and in the cloud. Development Cross-platform mobile apps and bespoke web development Training Online and on-site training for technical and ...
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    Senior Data Scientist

    Job Description

    • As a Senior Data Scientist, you will turn raw data into valuable insights that an organisation needs in order to grow and compete.
    • Interpret and analyse data from multiple sources to come up with imaginative solutions to problems.

    Responsibilities
    As Senior Applied Data Scientist, your responsibilities will be to:

    • Work with clients, managers and technical staff to understand business needs and develop technical plans to deliver results.
    • Develop, deploy, and implement predictive models and protocols for mining production data sources.
    • Appropriately deliver existing analytic methods and tools; applying theory to practice.
    • Learn new analytic methods and tools as needed.
    • Create analytic models and test hypotheses collaboratively in a rapid-paced work environment to meet client needs.
    • Responsible for solution and code quality including providing detailed and constructive design and code reviews
    • Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams
    • Lead data science consulting engagements on the ground.

    Requirements

    • Have a strong foundation in statistics and data analytics with expertise in survey research and statistical modelling.
    • Experience with one or more data science toolkits such as R, Python, Matlab, Rapidminer, SAS or SPSS.
    • Have experience with traditional data mining tools (SQL, Power BI, OLAP, advanced EXCEL, etc.) and ‘Big Data’ tools/techniques (Hadoop, etc.)
    • Have experience with machine learning algorithms and classifiers such as k-NN, Naive Bayes, SVM, Random Forest, Linear Regression, ARIMA, Neural Nets, Deep learning, etc.
    • Are familiar with applied statistics such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inferences.
    • Possess demonstrable experience of delivering a wide variety of machine learning techniques including classifiers, regression, clustering, decisions trees, neural networks, NLP and ensemble techniques
    • Understand data visualization patterns and have experience with one or more data visualization tools such as Tableau, R Shiny, Seaborn, MicroStrategy, SAP BusinessObjects, QlikView, etc.
    • Have a keen understanding of the business value perspective on predictive analytics.
    • Have experience deploying and monitoring predictive models.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to dipoleDIAMOND on dipolediamond.freshteam.com to apply

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