Reports To: Manager - Business Intelligence

Division: Enterprise Business

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