Senior Data Scientist
As a Wimmy data scientist, you will help discover the information hidden in vast amounts of data to help make smarter decisions. The primary focus will be building mathematical models of disease transmission, designing and running statistical analyses, and using data visualisation tools to communicate results.
What you will be doing
- You will identify data sources and automating data collection processes.
- You will be responsible for processing and cleaning the data used for analysis.
- You will analyse data to discover patterns and trends.
- You will test models to select the most appropriate ones.
- You will implement new statistical and mathematical methods as needed.
- You will perform literature reviews to guide assumptions around model structure and parameter values.
- You will build predictive models and machine-learning algorithms.
- You will coordinate with other team members to implement models and validate their outcomes.
- You will use data visualisation tools to communicate results.
- You will ensure that you stay up to date with the latest technology and best practices in data management, data governance and analytics.
How will you be doing this
- By using your extensive experience in SQL, R and/or Python.
- Leveraging and leaning on the team for items outside your area of expertise.
- Utilising agile planning structures and processes.
- Alongside other data scientists, epidemiologists, data/software engineers and UX and graphic designers who are passionate about what they do.
- By owning your role, carving out the ideal balance between you and the team.
- By being based in South Africa, and ideally in Cape Town. You have a hybrid schedule of working from Wimmy’s office and working from home, balancing the team and project demands with time efficiency, flexibility and autonomy.
To apply for this position, please fill out and submit this form.
What a work day at Wimmy might look like
If you are based in Cape Town, you may choose to come into the office, or feel free to work from home or a location of your choice. We do encourage physical presence with the team where possible. This is to ensure we get to know each other better, which strengthens our relationship when we work remotely.
You start the day with your morning coffee reviewing your tasks on Jira. You decide to finish off some data cleaning tasks from the day before, resolving data irregularities that you identified. You move on to check to goodness-of-fit of an intelligent Covid-19 forecasting model that you co-developed previously.
While the model calibration is running, you take a break for lunch or a quick game of table tennis with a teammate, or whip up something quickly in your kitchen if you’re home. After lunch, you review and test some code of one of your colleagues and you write some code to improve the visualisation of the output, towards an updated interactive web-based dashboard.
During your afternoon coffee break you get into a discussion with a colleague on a neural network approach to improving the fit and prediction capabilities of the model, and alternatives to the Root Mean Squared error as a summary measure of model accuracy. It’s Thursday, so you round off the day with a quick team stand-up with your teammates in the US.
Required skills and expertise
- You have proven experience as a Data Scientist or Data Analyst
- You have a BSc, Honours or Masters in Statistics, Data Science, or equivalent; and possibly a specialisation in Machine Learning
- You have experience in exploring and analysing high dimensional data mining
- You have an understanding of machine learning and operations research
- You have strong knowledge of SQL, R and/or Python
- Having worked on health-related or medical projects is an advantage
- And so is being familiar with cloud data platforms and business intelligence tools (e.g. PowerBI or Tableau)
- You have an understanding of, and ideally experience in, Agile development methodologies
- You have technical competency with regard to software development and processes in the Systems Development Life Cycle
- You take pride in what you do, and you welcome feedback; you have a high EQ, you communicate and collaborate well.
- You are a self-starter with a strong intrinsic drive and passionate about technology and innovation
We support Broad-based Black Economic Empowerment (B-BBEE), a government policy to advance economic transformation and enhance the economic participation of black people in the South African economy. Moreover, we actively support the drive to gender equality, and more specifically more women in data science.