• Application Deadline: Thu, 16 Nov 2023 00:00:00 GMT
• Position: Analyst - Data Scientist


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Mission:

• Apply strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services.


• Collaborate with translators to define technical problem statements and hypotheses to test; develop efficient and accurate analytical models that mimic business decisions.


• Build high-quality data pipelines that drive analytic solutions.

Description:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.


• Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.


• Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance.


• Collaborate with translators and understand business problems to implement scalable and sustainable solutions.


• Coordinate with MIS, digital specialists, and data engineers to deliver holistic analytical solutions.


• Support translators in communicating the design, functioning, and output of the analytical models and solutions developed.


• Utilize specified statistical software to analyze and interpret research data, as appropriate to the individual position.


• Ensure timely analysis and testing for regular maintenance of solutions over time.

Education:

• First degree in mathematics, statistics, computer science, engineering, or other related disciplines.


• Certification in machine learning, data engineering, data science, or related fields will be an added advantage.


• Fluent in English

Experience:

3–7 years’ experience, with experience working with others.

• 1–3 years’ experience in a statistical and/or data science/business intelligence role


• Understanding of big data technologies.


• Experience with programming is required, including R, Python, SQL, and PySpark.


• Experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.) is a plus.


• Solid understanding of predictive analysis: predictive modeling, machine learning, and data mining


• Experience in aggregating and transforming data, exploring and manipulating data, creating training and inference pipelines, and building and validating models


• Experience working with basic visualization tools such as Tableau, Qlik, etc.


• Strong analytical, problem-solving, and teamwork skills


• Excellent written and verbal communication skills, along with a strong desire to work in cross-functional teams.


• Openness to working in agile environments with multiple stakeholders


• Good oral and written communication skills