Data Scientist at MTN Nigeria

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