Senior Data Scientist: R l Python l SQL l Databricks l Azure l CI/CD l Spark l Git l Web Frameworks

SUMMARY:
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POSITION INFO:

Senior Data Scientist: Distributed Computing, Databricks, Spark, Containers, GIT, and building effective CI/CD pipelines, PowerBI, web frameworks, Azure: Permanent Position

• Fixed Term Position
• Employment Equity

Reports to: Head of Data Scientist and Digital Tools

As a Data Scientist at Client, you are free to explore unique solutions and try fresh ideas, through a customer-centric approach that will enable Client’s strategic go-to-market aspirations in providing sustainable value to our customers. The ideal candidate will be confident with statistics and advanced data science methodologies to realise the full potential from large datasets, will have a creative and entrepreneurial mindset with a natural curiosity to problem-solve and be able to explain concepts and results to a non-technical audience. You will be provided the autonomy to manage your own projects whilst enjoying the benefits of remote work.

You will have industry-leading toolsets at your disposal; your experience in the Microsoft Azure platform is preferred. The strategic direction set by Client is compelling and presents an exciting opportunity for highly experienced and self-motivated data scientists who are keen to showcase their skills and join us on this epic journey.

Client has unique set of benefits that an employee receives in return for the skills, capabilities, and experience they bring to a company. It also supports learning and development culture and remains one of the top preferred employers in the country with global footprints spurning many decades.

Short Description / Purpose of Job

· The Senior Data Scientist is responsible for preparing and analysing large data sets to apply.

· Appropriate data science techniques (statistics / simulation / optimisation/ machine learning) to

drive predictive and prescriptive intelligence for business applications.

· Responsible for the design, engineering, development, operationalisation, and modification of

complex and/or specialised data science products in accordance with sound analytical principles

and standards to drive critical value-adding business decisions.

· The Senior Data Scientist will forge strong relationships and partnerships with key stakeholders.

to understand business needs, develop data science products in a way that maximises user buy-in

while recognising and capitalising on new improvement opportunities to extract business value.

· He/she will stay abreast of new/alternative techniques and/or tools for relevant application in the

Client Energy business.

In addition, the senior data scientist will support and mentor junior data scientists in team.

Key Accountabilities

· Translate business questions and opportunities into specific quantitative questions that can be.

· answered with available data using appropriate data science techniques (statistics/ simulation/

· optimisation/ machine learning).

· Define, apply, and update Data Science best practices and standards.

· Ensure that solutions are sustainable and adequately packaged for support handover.

· Peer review junior data scientists' work to identify possible areas for improvement of efficiency,

· effectiveness to ensure and improve the quality and accuracy of the data science products.

· Conduct written and verbal presentation to share insights and recommendations to audiences of

· varying levels of technical sophistication.

· Actively seek customers where support could be offered and proactively identify real business needs.

· Research trends in data science tools and techniques for continuous improvement

· Contribute to the data science community specific data science topics.

· Participate in and contribute to the Client Data Science CoP sessions and share own ideas /

· knowledge / experience within the Client Data Science community.

Formal Education

· Bachelor’s degree ideally in Statistics / Mathematics / Data Science / Operations Research / Engineering.

· Master’s degree in above will be advantageous.

Min Experience

· At least 8 years of applied experience using advanced analytics, statistical methods, and data science.

· Advanced in coding capability in R/Python and SQL.

· Applied data science delivery in any of the following areas will be preferred: retail / customer loyalty,

price and cost optimisation / inventory optimisation / sales and operations planning / digital twins.

· Experience in Agile project delivery is required.

· At least 2 years’ experience in any of the following: distributed computing, Databricks, Spark,

Containers, GIT, and building effective CI/CD pipelines, PowerBI, web frameworks.

· Applied experience in deep learning techniques (e.g., NLP, computer vision, etc.) is an advantage,

but not essential.

· Good presentation and communication skills with a knack for explaining complex analytical.

concepts to people from other fields.

· Azure certifications will be preferred.

Competencies

Analytics: The systematic computational analysis of data or statistics.

Collaboration: The action of working with someone to produce something.

Critical reasoning: The action of critically thinking about something in a logical, sensible way and

taking all factors into consideration.

Data Management: Knowledgeable of the theory, purpose, architecture, and design of the

management, administration, and relationships of the organization's data.

Execution capability: The underlying ability to execute a strategy/project or day to day work.

Problem Solving: Is a step-by-step process of defining a problem, searching for information, and

testing a series of solutions until the problem is solved. In involves critical thinking, analysis and

persistence.

Self-Mastery: Takes accountability for driving own growth through developing self-awareness,

reflecting, seeking feedback and self-correcting.

Tech Savvy: Knowledge of the Information Technology Industry including trends, emerging.

technology, best practices, competition, regulations, and legislation.

Communication will only be with shortlisted candidates: jino.

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