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Data Scientist Job Opening In Randburg – Now Hiring Dimension Data


Job description

Functieomschrijving

Do you want to work with the latest technology?

Do you want to be part of a team that is constantly improving their product and customer experience?

Would you like to work with cutting edge algorithms, machine learning and data mining tools?

Are you looking for a role where you will make an impact on our business results?

We are looking forward to receiving your application!

As a Data Scientist, you'll be responsible for the development of analytical models and algorithms.

You will work with data scientists to develop our machine learning and predictive analytics solutions in order to enhance customer experience and drive growth across the business.

You should have strong programming skills including knowledge of R or Python; some familiarity with SQL is preferred but not required.

Some familiarity with statistics would also be beneficial but isn't essential.

Requirements

Stakeholder Management § Work with data and analytics squads to identify relevant data sources to perform meaningful customer analytics

Work closely with the business execution teams to ensure insights make business and financial sense

Work collaboratively with various teams to ensure effective delivery of the departmental goals based on analysis results

Operational

Provide innovative ways to support the implementation and effective execution of the strategy

Assist with development and delivery of business cases

Use data and advanced statistical methods to generate new business insights

Cross-reference and correlate results with supporting material

Ensure model results are explainable

Develop, train, test, implement, update and maintain analytical models

Source and prepare data for analysis and modeling purposes

Develop dashboards for business consumption and interaction of results

Implement tracking mechanisms to measure the business impact of action taken against results and insights provided

Compliance

Ensure solutions adhere to MultiChoice patterns, guidelines, and standards

Operate within project environments and participate in continuous improvement efforts

Delivery Management

Follow and participate in defined ways of work including but not limited to

sprint planning, backlog grooming, retrospectives, demos, and PI planning

Technical Competencies

Azure Machine Learning Services

Azure Auto ML

Azure Data Lake including parquet files

Databricks including DeltaLake

PowerBI

Python

PySpark

SQL

Qualifications

Qualifications

Degree in Business and Quantitative field (Econometrics, Mathematics, Statistics, Computer Science or Similar)

Post Grad Advantageous

Experience

A minimum of 3 - 5 years of relevant data science experience

Application of statistical, mathematical, predictive modeling and forecasting techniques

Experience in building and implementation of Supervised and Unsupervised Machine Learning Algorithms to solve meaningful business problems

Preparation and presentation of findings to senior management

Facilitation of discussion and interpretation of results to deepen business understanding

Requirements -

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Randburg, South Africa, highlighting market share and opportunities for professionals in Data Scientist roles.

8465 Jobs in South Africa
8465
61 Jobs in Randburg
61
Download Data Scientist Jobs Trends in Randburg and South Africa

Are You Looking for Data Scientist Job?

Great news! is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Dimension Data adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying South Africa laws and regulations

What Is the Average Salary Range for Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Randburg. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist?

Key qualifications for Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Scientist?

To improve your chances of getting hired for Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Scientist Job Success

Dimension Data interview tips for Data Scientist

Here are some tips to help you prepare for and ace your Data Scientist job interview:

Before the Interview:

Research: Learn about the Dimension Data's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist interview at Dimension Data, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Dimension Data's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Data Scientist Positions

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