Data Scientist (L1)

Isazi Consulting|Posted 2 months ago

Skills and experience

Role:Data scientist

Experience in role:0+ years

Language proficiency:English

Must-have skills:

Python

SQL

Nice-to-have skills:

Linux

Docker

PostgreSQL

Location and salary

Remote policy:Hybrid

Location of job:Johannesburg, South Africa

Visa requirements:Authorised to work in South Africa With status of citizen/passport holder, permanent resident or work permit/visa holder

Visa sponsorship:Unable to sponsor visa

Employment type:Permanent

Role description

The primary function of the Data Scientist role is to convert data into information by applying the scientific method, and then communicate these results effectively with business stakeholders. This includes being able to interpret a business problem and create mathematical and statistical models that accurately represent the problem, cleaning data and performing exploratory analyses, applying advanced quantitative techniques and machine learning algorithms to data, visualizing results succinctly, and providing continuous feedback to customers on progress, performance, insights and next steps. A data scientist is primarily a scientist, and should view the scientific method as their north star, but a consulting data scientist has the added responsibility of being a consultant, meaning clarity of purpose, first class exposition and the ability to track and plan projects are also of paramount importance. The Consulting Data Scientist is key in building and maintaining strong relationships with our clients and ensuring their optimal experience.

Responsibilities:

Analyze raw data: assess quality, cleansing, structuring for downstream processing.

Apply the scientific method to data and problems to establish, test and refine hypotheses.

Visualize and present scientific results effectively for a business audience.

Design and train accurate and scalable machine learning algorithms.

Collaborate with the engineering team to bring analytical prototypes to production.

Generate actionable insights for business improvements (and develop measures to track business improvement).

Ongoing client interaction to understand their challenges and create solutions.

Qualifications and Criteria:

The ideal candidate will possess the following qualifications and criteria:

Bachelor's degree or equivalent experience in quantitative field (Operations Research, Statistics, Applied Mathematics, Computer Science, Engineering, etc.)

At least 1 year experience working with programming (R and/or Python and/or Julia)

Skills:

Deep understanding of optimisation, predictive modeling, machine-learning, clustering and classification techniques, and algorithms.

Fluency in a programming language (e.g. Python,Julia, R,...)

Familiarity with relational databases, preferably PostgreSQL

Experience using source control and continuous integration with Git (e.g. Gitlab/Github)

Preferably some exposure to Linux. Docker / Kubernetes knowledge is an advantage but not required.

A firm understanding of and experience with the scientific method

Experience and excellence in data driven storytelling

About Isazi Consulting

51-200 employees

isazi \ɛ·sah·zi\ noun\ original isiZulu\ bearer of knowledge\ scientist

At Isazi Consulting, we are a dynamic team of data-driven, colourful specialists who love to solve real problems in different ways. We are built on passion, trust and thinking outside of the box. Our people are why we exist, and we celebrate each individual.We value unique, free-thinking individuals who chase the thrill of building from scratch Our solutions are radical and built to add value for our clients in alleviating their greatest challenges. We are creative scientists

Our consulting work is varied from analytics and machine learning, to optimization. We have a variety of clients in the finance, healthcare, manufacturing and media sectors.

The products we offer are software-as-a-service solutions to common problems that have arisen from our consulting work. For example, our flagship product is Sophia; a handwriting transcription service for documents.

We are offering the opportunity to work on a variety of interesting and challenging problems, alongside our core team of smart data scientists and software engineers. We are continually learning and improving our approaches, and we are looking for people to make a meaningful contribution.

We have a strong collaborative culture of team-work, respect, learning and knowledge-sharing. But, we also have a good vibe especially if you like puzzles, chess, padel and table tennis. Our chef serves breakfast and lunch daily to keep our creative juices flowing.