Data Scientist

Wimmy; Cape Town; Hybrid; ZAR 500,000 - 700,000; Full time

Job summary

A specialized consultancy in Cape Town is looking for a diligent data scientist. You will design and execute statistical analysis plans, engage with clients on interpretations, and collaborate with a team on innovative AI solutions. The ideal candidate holds a Master's or PhD and has at least 4 years of experience in data science or statistics. This role offers meaningful work and a hybrid, casual work environment.

Benefits

Market-related salary package

Professional work environment

Continuous Professional Development

Monthly socials with the team

Qualifications

• Minimum of 4 years experience as a statistician or data scientist.
• Designed statistical analyses for health sciences studies.
• Experience with cloud-based environments.

Responsibilities

• Lead design and execution of statistical analysis plans.
• Present results at client meetings.
• Oversee writing of technical reports.

Skills

Statistical analysis

Data storytelling

Python (or R)

Data visualization

Client engagement

Organizational skills

Problem-solving

Education

Masters or PhD in (Bio)Statistics or Data Science

Tools

Relational Databases

SQL

Job description

Company Description

Wimmy, based in Cape Town, South Africa, is a specialised consultancy, on a mission to help organisations who want to use their own internal data as well as other external data to inform strategic, operational and clinical decisions. We do this by building data infrastructure, dashboards, machine learning models and AI integrations into our clients’ existing technology. We work with a wide range of health(care) organisations, from For-Profit and Non-Profit Companies to international NGOs, research institutes and occupational health departments of multinational companies.

Role Description

We are looking for a diligent, upbeat data scientist who knows how to get things done. You will be working within a team of other data scientists and data engineers, and you will also communicate with our clients and software developers.

Consider applying if this is you:

You don\'t just do what you are told, you can think outside of the box and come up with innovative solutions to complicated problems. In high school projects, you did most of the work. In the interview, you\'re happy to explain how you crafted the solution that helped your team win the hackathon. You like the fast pace, autonomy and agility that a startup offers. You embrace the opportunities that AI bring, and you\'re excited to make them come alive. You are a self-starter who learns fast and deep. You enjoy coming into the office some days of the week to work shoulder to shoulder with the team. You\'ve done a lot in the past few years and you want to do more, but your current work environment doesn\'t allow you. You set a high bar for the quality of your work, and seeing the client thrive thanks to your work motivates you to keep pushing.

Your main responsibilities

• To lead the design and execution of statistical analysis plans. The types of analyses and methodologies vary widely from basic descriptive statistics to a range of regression models (e.g. mixed effects models and inverse probability weighting for causal inference) and machine learning models (e.g. random forests and neural networks).
• Data storytelling: you make sense and give meaning to the data by narrating the results and explaining to the client what implications they have for their day-to-day operations and strategic planning.
• Code review
• Support the development of project proposals
• Present results at client meetings
• Oversee the writing of technical reports, case studies and scientific papers
• Support the development of course material related to a wide range of topics in biostatistics and data science

Required Qualifications, Skills & Attributes

• A Masters or PhD degree in (Bio)Statistics or Data Science
• A minimum of 4 years work experience as a statistician and/or data scientist
• Designed and executed study designs and statistical analyses for observational and/or experimental studies in the broad domain of health sciences and healthcare delivery
• Knowledge of Relational Databases and SQL
• Proficient in Python (or R)
• Strong data visualisation skills
• Ability to work independently and collaboratively in a team
• Experience engaging with clients (scoping, exploring analytical approaches, helping the client understand the results and implications of the analysis)
• An aptitude for interpreting data in context and business management consulting
• A value system that is compatible and aligned with ours
• Excellent organisational and multitasking skills
• Self-starter with a problem-solving mindset
• Comfortable in a fast-paced and evolving startup environment

Bonus Points

• Experience managing a team of data scientists or biostatisticians
• Having worked for global and multinational clients
• Experience with cloud-based environments and deployment workflows

This is us

We are a small, interdisciplinary team with big dreams and ambitious goals. The chance to help our clients achieve their purposeful goals while pushing innovative solutions is why we love our work. We do team of leaders who take responsibility and ownership of our work. We know how to have a constructive debate and learn from one another.

What we offer

• Meaningful work with value-oriented client organisations
• Market-related salary package
• Professional work environment with a table tennis table and great coffee
• Continuous Professional Development
• Monthly socials with the team
• Hybrid, casual work environment

How the application process works

1. Apply via the LinkedIn portal. To maximise your chances of being shortlisted, ensure that we are able to distill the relevant information from your CV to evaluate your application against the required skills and other attributes listed in the job advert.
2. Complete the form via the link below. The form will ask additional screening questions as well as a 1 minute intro video: https://docs.google.com/forms/d/e/1FAIpQLSdM7TwA72dvDG4sxjrFeNPkDgxpSxieb-XS9aMm3XuwdWiyIw/viewform?usp=sharing&ouid=115655696938113820535