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Data Scientist

Company:
DigiOutsource
Location:
Cape Town, Western Cape, South Africa
Posted:
May 07, 2024
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Description:

Kick-start your career in the online gaming world and experience the very latest in technology and innovation.

The Department:

A department that prides itself on an unmatched ability to solve the most complex problems and deliver a consistent, high level of value to the business. The entire team are encouraged to have a working knowledge of all steps needed to deliver projects end to end including data engineering, architectural understanding, programming skills, data wrangling, QA, data visualisation and presenting to the business.

Purpose of the Role:

The purpose of our Data Science team is to focus on the most complicated problems facing our industry and creating data products that can be deployed at scale to our customers. The work spans across acquisition, retention, trading, compliance and product. As such the applicant should be comfortable understanding and delivering projects across multiple areas of the business. The candidate will also be expected to mentor existing members of the team.

Duties include, but not limited to:

Develop, monitor, and maintain data transformation processes

Develop models using Big Data and statistical methodologies to answer business requirements

Applying analysis techniques on a range of projects such as customer behavioural change, effects of marketing, customer segmentation, recommendations, and automated sports trading

Full project lifecycle management, through design, estimation, analysis, deployment and presentation whilst communicating effectively with key stakeholders

Take an active role in updating team processes to continuously improve performance and delivery

Effectively deploy models into production at scale

Independently align oneself with the business needs and building strong business relationships

Create reports periodically highlighting the key metrics from the work you produce

Mentor team in areas of expertise

Be a role model for everybody else in the team in all interactions and delivery

This job description is not intended to be an exhaustive list of responsibilities. The job holder may be required to complete any other reasonable duties in order to achieve business objectives.

Essential Criteria:

Demonstrated knowledge of techniques including machine learning, generalised linear modelling, logistic regression, time series analysis, bayesian methods, neural networks and complex data manipulation/processing skills in order to build models

Expertise in creating end-to-end data flows with periodic triggering

A proven ability to think laterally to solve problems

Strong verbal and written communication skills

Strong presentation skills with a proven ability to explain technical problems to non-technically minded business personnel

Able to work autonomously and as part of a team, helping push the team forward

Expertise in using programming languages such as R or Python to analyse, transform, and visualise big data, as well as to implement machine learning algorithms

Strong understanding of data/analytical tools including Database querying (SQL) or NoSQL

Experience with Cloud Technologies, preferably Microsoft Azure

Exposure to K8s or docker technologies for implementing scalable infrastructure

An interest in Sports

Desirable Criteria:

Experience in Java/C#

Understanding of LLMs and how they can be utilised to improve business processes and customer experience

Demonstrated experience of data transformation techniques, such as Event hub captures, Elastic Search and conversions to Parquet files in the Data Lake

Industry knowledge of sports trading, marketing or online gaming beneficial

Degree in Mathematics, Statistics, Economics, Data Science, Engineering or quantitative discipline

Person Specifications:

Problem Solving

Communication

Presenting with Impact

Collaboration

*Please note we will apply relevance to our Talent Management and Talent Development Programme as part of our recruitment process.

*Shortlisted candidates may need to complete an assessment.

This position requires trust and honesty it has access to customers financial details - therefore a credit and criminal record check will be conducted. The qualifications identified herein are an inherent job requirement; therefore, a qualification verification check will be done. By applying for this role, and supplying the necessary details, you hereby grant us permission to apply for these checks. This will be done in a confidential manner, and solely for the purposes of verification.

Should you not hear from us within 2 weeks, please deem your application as unsuccessful.

The perfect place to work, play and grow!

JR8786

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