At VIISAUS we are passionately curious about people and society. We deliver data and insights that make our complex world easier and faster to navigate and inspire our clients to make smarter decisions. By using innovative technologies and data science, VIISAUS turns big data into smart data, enabling its clients to improve their competitive edge.
Our culture and values speak to placing our customers as a priority, working hard, teamwork and being passionate about what we do (and having fun in the process!). Our Company is full of ordinary people with extraordinary minds who desire to do extraordinary things!
We are recruiting to fill the position below:
Job Title: Data Scientist
Location: Nigeria
Job Profile
As a Data Scientist, your responsibilities will be to:
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Work as a data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the team to strategize and execute the development of data products
Be accountable for data science solution delivery and code quality check including providing detailed and constructive design and code reviews
Develop, deploy, and implement predictive models and protocols for mining production data sources
Work with clients, managers and technical staff to understand business needs and develop technical plans to deliver results
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
Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams
Lead existing data science projects/engagements
Job Requirements
You’d be a good fit if you:
Have 5 or more years post NYSC work experience as a programmer
Possess a University Degree in Statistics, Mathematics, Computer Science, or any other related field
Have a strong foundation in statistics, data analytics and software development with expertise in survey research and statistical modelling
Can create structure out of semi-structured and unstructured data using one or more tools in the data science toolkit such as Python (note that Python is highly preferred), R, Java, 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.)
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.
Possess demonstrable experience of delivering a wide variety of machine learning techniques including classifiers, regression, clustering, decisions trees, neural networks, NLP and ensemble techniques
Have experience implementing machine learning algorithms using regression methods 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
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
Remuneration
Because VIISAUS hires the best people, we work hard to provide benefits to make their lives better. We offer a comprehensive benefits program which features:
A competitive salary in a highly exciting organization
Health and dental insurance coverage
Annual Performance Bonus at management discretion
Monthly Pension Benefits
Group Life Insurance
A fun and collaborative environment with driven team members
Work for an employee-focused company that is building a great culture
Paid time off, Sick days and Holidays off
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should: Click here to apply online