Data Engineer/Scientist at Aza Finance

Description

As the Data Scientist you will be an integral part of a diverse and collaborative, agile team of world-class practitioners, including data scientists, data engineers, software developers.

How your skills and passion will come to life at AZA

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our customers interact with our core/business products
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities
• Inform, influence, support, and execute our product decisions and product launches.

The Data Analytics role has work across the following four areas:

• Data Infrastructure
• Authoring pipelines via SQL and python based ETL framework
• Building key data sets to empower operational and exploratory analysis
• Automating analyses
• Product Operations
• Setting goals
• Designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics.

Requirements

What we’re looking for

• An advanced degree (PhD preferred) in a quantitative field like computer science, engineering or statistics related, or equivalent practical experience of developing and implementing Machine learning applications; you will also be adept at managing complex operations and development projects, preferably in an analytics context.
• Deep understanding of probability, statistics, machine learning theory and practical applications; you will be fluent with various machine learning and data mining algorithms (e.g. logistic regression, random forest, neural networks) for prediction and recommendation.
• Programming skills in suitable software (e.g. R, Python, SAS, Clojure) with an understanding of distributed file systems, scalable data stores, distributed computing and related technologies (e.g. Spark, Hadoop, AWS).
• Able to work with a wide range of stakeholders and communicate technical information clearly to specialists and non-specialists alike; you will be willing to experiment, learn and adapt in an agile context.

Minimum Qualifications

• Experience doing quantitative analysis.
• BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees preferred.
• Fluency in SQL or other programming languages. Some development experience in at least one scripting language (Python, R)
• Ability to initiate and drive projects to completion with minimal guidance
• The ability to communicate the results of analyses in a clear and effective manner
• Basic understanding of statistical analysis.

Benefits

• A competitive salary and benefits package.
• Global / regional network / exposure in FinTech / Blockchain industry.
• One of the hottest, fastest scaling startups in Africa.
• Casual work environment.
• Great work -life balance.
• We value autonomy.
• Opportunity for growth for all employees.
• Opportunity to work hard and play hard.
• …… and more!!

AZA is an equal opportunity employer and will consider every qualified applicant for employment. AZA does not discriminate based on race, ethnicity, national origin, ancestry, religion, gender, sexual orientation or disability.