Vacancy for Senior Data Scientist at dipoleDIAMOND
Employment Nigeria
04-May-2018
EDO ,
IT and Telecoms
dipoleDIAMOND - a Business Solutions and Training firm is recruiting to fill the position below:
POSITION : Senior Data Scientist
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.
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
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.
Sorry the application deadline for this job has elapsed
