Data Scientist & Statistician

About Midas Project

Creating a sustainable future in the educational and social enterprise sector entails meeting up with the challenges of a fast-changing and unpredictable globalized world through innovations. Midas Project is a next-generation technology development startup that focuses on driving innovation in education sector and helping to create, nurture and develop social enterprises.

It allows for sharing of African stories and a social support system, via its hub initiative. We are a community of social innovators leveraging technology to proffer solutions to societal problems.

Job Description: 

The Data Scientist & Statistician will support product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Duties & Responsibilities: 

- 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 and statistical 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.

Qualifications & Requirements: 

- A first degree with second class upper and above in a discipline relevant to the position

- Post-graduate certification will be a plus

- Have over 4 years’ experience with 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.

- Bachelor's degree in Statistics, Mathematics, Computer Science or any other related field 

- Professional certification is an added advantage 

-Excellent written and verbal communication skills for coordinating across teams.

Added Advantage: 

- Young candidate with good research skill encouraged

- Experience in a consulting or investment banking field

- Good writing skills, communication and proficient with numbers

- Multi-country education or work experience with diversity in function

- Good communication and looks

- A Nigeria lover or neutral