Data Scientist at Viisaus Technology Ltd

Job Profile

As 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
• Be accountable for data science solution delivery and code quality check 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

You’d be a good fit if you:

• Have a strong foundation in statistics and data analytics with expertise in survey research and statistical modeling
• Can create structure out of semi-structured and unstructured data using one or more data science toolkits such as R, Python, Unix shell, Matlab, Rapidminer, SAS or SPSS
• Have strong experience mining and manipulating data with traditional tools (SQL, Power BI, OLAP, advanced EXCEL, etc.) and ‘Big Data’ tools/techniques (Hadoop, Hive, Spark, 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 inference
• 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
• Possess excellent oral, written communication, presentation, and analytical skills
• Possess an extraordinary mind and love to use it
• Love working with numbers and are target driven