We are a management consulting firm resting on three oars - People, Systems & Technology. At psyntech, we understand current trends as they occur across ...
Maisha Meds is an organization dedicated to improving health care in Africa. We began full-time operations in 2017 and over the past few years has grown to ...
eHealth Africa is focused on improving healthcare by creating effective ways to implement reliable health information management systems. We have developed ...
Dwight Patterson Consultants - We are a leading workforce solutions company, offering flexible placement, permanent placement, outsourcing and managed services ...
Busha is one of Africa’s leading digital asset platforms. We are on a mission to onboard millions of Africans into the crypto economy, and we are building ...
Migo Money Inc is a cloud-based platform that enables companies to offer credit to their consumer and small business customers. Leveraging proprietary ...
Migo Money Inc is a cloud-based platform that enables companies to offer credit to their consumer and small business customers. Leveraging proprietary ...
Noemdek's advisory practice was established to support international strategic advisory firms with relevant local expertise. We are able to deliver on our ...
Nathan Claire Group is a leading Information Technology Consulting company that specializes in services supporting digital transformation. We are committed to ...
Odixcity Consulting is Nigeria's leading foreign outsourcing firm, specializing in human resources and procurement. We believe in delivering business solutions ...
PROFORCE LIMITED was incorporated in 2008 as a total defence solution provider specializing in armoured vehicles and personal protection. The company’s ...
Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all ...
ENGIE is a leading global energy company that builds its businesses around a model based on responsible growth to take on energy transition challenges. We ...
The Dangote Group is one of the most diversified business conglomerates in Africa with a hard-earned reputation for excellent business practices and products' ...
eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with ...
Over the past 17 years in the Nigerian market, Dufil Group has had a remarkable impact on the Nigerian culinary Landscape. Their Product, Indomie Instant ...
A Data Scientist is a skilled professional who uses modern tools and techniques to develop solutions for companies based on the business challenges and opportunities available. With the use of statistical methods, data visualization techniques and machine learning algorithms, they can build predictive models and solve complex problems.
Data Scientists derive meaningful information from messy and unstructured data. They also communicate important information and insights to business leaders and various stakeholders.
Simply put, a data analyst makes sense out of existing data, whereas a data scientist works on new ways of capturing and analyzing data to be used by the analysts.
A Data Scientist develops algorithms and data models customized to their unique industry based on where the business would like to improve efficiency, service and brand reach.
A Data Scientist automates tedious tasks and generates insights using machine learning models.
A Data Scientist uses predictive analytics to better understand customer behaviour and preferences, ad performance, and other customer-facing metrics so the business can generate more revenue.
A Data Scientist creates suitable and personalized A/B testing frameworks. They use this to compare the performance of different features, such as logo designs. These frameworks reduce any type of bias or statistical errors and maximize the value of the test outcome.
A Data Scientist analyzes new data sources. They try to understand how the new data source fits into preexisting customer and statistical models and how it affects business analytics.
Expertise in all phases of data science, from initial data discovery through data cleansing and model selection, validation and deployment;
Knowledge and understanding of common data warehouse and data lake structures;
Experience with using statistical approaches to solve analytics problems;
Proficiency in popular machine learning frameworks;
Familiarity with common data science and machine learning techniques, such as decision trees, K-nearest neighbours, naive Bayes classifiers, random forests and support vector machines;
Experience with techniques for both qualitative and quantitative analysis;
The ability to identify new opportunities to apply machine learning and data mining tools to business processes to improve their efficiency and effectiveness;
Experience with public cloud platforms and services;
Familiarity with a wide variety of data sources, including databases and big data platforms, as well as public or private APIs and standard data formats, like JSON, YAML and XML;
The ability to aggregate data from disparate sources and prepare it for analysis;
Experience with data visualization tools, such as Tableau and Power BI;
The ability to design and implement reporting dashboards that can track key business metrics and provide actionable insights; and
The ability to do ad hoc analysis and present the results in a clear manner.
