- 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
