Data Scientist at takealot.com

our responsibilities will include:

• Working on uplift modelling and forecasting key metrics
• Plan, prioritise and manage a roadmap of work that maximises value-add with limited time
• Develop solutions according to the roadmap using appropriate methods, depending on the problem
• Measure, report and continuously improve model performance
• Work closely with the Analytics team to brainstorm, identify opportunities and guide the roadmap
• Work closely with the BI team to produce consolidated, transformed data sets, where appropriate
• Work closely with the Software Engineering and Machine Learning Engineering teams to deploy and maintain relevant models in our production environment, ensuring Engineering best practices are adhered to.
• Communicate opportunities and solutions effectively to relevant stakeholders, from Software Engineers to Business Executives
• Collaborate and share knowledge with the analytics teams across the company

Attributes required:

• Strong business acumen
• Proficient with advanced methods for regression, optimisation, classification and unsupervised learning problems
• Proficient at modeling algorithms in either R or Python
• Proficient at gathering and wrangling big data sets from various sources including, SQL databases, Big Query, APIs, Excel/Google Sheets
• Good communications skills with the ability to present complex information in a clear and concise manner to a variety of audiences.
• Eager to learn and stay up to date with industry trends
• Creative problem-solving skills
• Strong prioritization skills
• Ability to build good practical solutions quickly with iteration rather than big-bang perfect solutions

Qualifications:

• Bachelor’s Degree in Engineering, Mathematics/Statistics, Computer Science or similar
• Master’s Degree in Data Science, Advanced Analytics or similar highly beneficial
• 3-5 years experience in Data Science or Analytics roles
• Experience deploying models into production environments is beneficial
• Experience in Retail industry is beneficial
• Experience in Marketing analytics is beneficial

The Environment:

• takealot.com employees are entrepreneurial and dynamic, smart, customer- centric, fun and have the shared ambition of takealot.com being the leading e- commerce company in Africa.
• We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback/new ideas on where we can improve.
• We are short on ego and high on output.
• We are doers and not only thinkers, its all in the execution after all.
• We love what we do and what we are creating.

We seek to Employ an Extra Ordinary Mind who:

• is forthright but respectful
• is an expert at doing, who can not only design but also execute
• is analytical, able to use data to make decisions
• is competitive, self-directed and strive to be the BEST (GREAT requires a lot of work and does not only happen during business hours
• is passionate about the potential of e-commerce and delivering a world-class customer experience
• is entrepreneurial, thrives under change and accepts it is a constant and always looks for solutions to do something better and faster
• is able to think about problems from a business perspective using technical and product input
• is curious and challenge the status quo
• is innovative and enjoys iteration
• is collaborative
• will be at the cutting edge of developing new concepts for takealot.com.
• thinks like an owner of the business.