About the role

Andela’s two-sided marketplace is a multifaceted hub of experienced talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns and many others. Data Science is a key weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. A Data Scientist at Andela will be involved in building ground breaking solutions often embedded in products serving both the marketplace and various business functions. You will be defining solution architecture, crafting the appropriate machine learning / optimization / experimentation model and guiding the execution of this model in collaboration with the Andela data, engineering and product teams.

Responsibilities:

• Work with the Principal Data Scientist and other business partners to identify problem domains and corresponding data science approaches
• Develop the Minimum Viable Product (MVP) version of the solution
• Deploy the solution in production in collaboration with the data, engineering and product teams

Requirements:

• Graduate degree (MS/Ph.D.) in quantitative field such as Economics / Statistics / Operations Research / Computer Science
• 2-3 years work experience applying quantitative methods to business problems
• Flexibility in working with a variety of data science approaches
• Hands-on with coding, Python strongly preferred
• Nice-to-have: proficiency in mathematical modeling

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