Growth in Value Alliance (GVA) Partners Limited – Our client, an IT company, is recruiting suitable candidates to fill the position below:

Job Title: Senior Data Scientist

Location: Lagos

Job Description

• Our client requires the service of a qualified Senior Data Scientist who can apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena.
• The successful candidate will model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.

Responsibilities

• Directs the gathering of data for use in Data Science models, ensuring that chosen datasets best reflect the organisations goals.
• Performs data pre-processing including data manipulation, transformation, normalisation, standardisation, visualisation and derivation of new variables/features. Utilises advanced data analytics and mining techniques to analyse data, assessing data validity and usability; reviews data results to ensure accuracy; and communicates results and insights to stakeholders.
• Design various mathematical, statiscal, and simulation techniques to typically large and unstructured data sets in order to answer critical business questions and create predictive solutions which drive improvement in business outsomes.
• Drives analytics and insights across the organization by developing advanced statiscal models and computational algorithms based on business initiatives.
• Codes, tests and maintains scientific models and algorithms; identifies trends, patterns, and discrepancies in data; and determines additional data needed to support insight. Processes, cleanses, and verifies the integrity of data used for analysis.
• Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches.
• Communicate data information to business with various skill levels and in various roles, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations.
• Creates, maintains and optimises modelling solutions that enable the forecast of quality data outcomes. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Develops and maintains optimal evaluation techniques to ensure that modelled outcomes are rigorous and creates model performance tracking.
• Drives sustainable and effective modelling solutions.
• Develops, implements, monitors and maintains a comprehensive operational IA plan, rules, methodologies and coding initiatives in order to drive IA for remediation efforts.
• Develops and co-ordinates a comprehensive strategy for productionalising automation software so that it is accurate and well maintained.
• Enhances data collection procedures to include information that is relevant for building data models.
• Provides input into Data management and modelling infrastructure requirements and adheres to the organisations infrastructure development processes, including the management of User Acceptance Testing (UAT).
• Conducts regression testing across all relevant systems as required.
• Ensure business integration through integrating model outputs into end-point production systems, where requirements must be understood and adopted relating to data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
• Builds machine learning models from and utilises distributed data processing and analysis methodologies.
• Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java, etc. Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka.

Education and Experience

• Candidates should possess a Bachelor’s Degree qualification
• 5 – 7 year’s cognate experience.
• Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
• Using data mining to discover new patterns from large datasets.
• Implement standard and proprietary algorithms for handling and processing data.
• Experience with common data science toolkits, such as SAS, R, SPSS, etc.
• Experience with data visualisation tools, such as Power BI, Tableau, etc.

Technical Competency:

• Diagramming and Modelling.
• Data Integrity.
• Research and Information gathering.
• Data Analysis.
• Database Administration.

Application Closing Date
28th February, 2022.