Data Scientist (Senior)

Headhunters; Gqeberha; On-site; ZAR 600,000 - 800,000; Full time

Job summary

A leading market research firm is seeking an experienced Data Scientist for their team in Port Elizabeth. The ideal candidate has over 7 years of experience in data science, a bachelor’s degree in a relevant field, and expertise in tools like SQL and Power BI. The role involves gathering and analyzing data, ensuring data integrity, and collaborating with cross-functional teams to enhance product capabilities. This position offers an exciting opportunity to contribute to innovative data strategies.

Qualifications

• 7+ years of experience in Data Science.
• Proficiency in statistical tools and data visualization.

Responsibilities

• Gather and process large volumes of structured and unstructured data.
• Ensure data integrity and consistency using statistical techniques.
• Develop methods for efficient data processes.
• Collaborate with stakeholders to address project health issues.
• Conduct complex data investigations and analysis.

Skills

Data mining

Statistical analysis

Mathematical modeling

Pattern recognition

Predictive modeling

Education

Bachelor’s degree in Statistics or Applied Mathematics

Tools

Excel

PowerPoint

Power BI

SQL

SPSS

SAS

Job description

Overview

Our Client, a prominent brand in the Market Research and Data Analytics space, is seeking to employ an experienced Data Scientist for their team based in Port Elizabeth.

Requirements

• 7+ years of experience in Data Science.
• Bachelor’s degree (or equivalent) in Statistics, Applied Mathematics, or related field.
• Proficiency with Excel, PowerPoint, Power BI, SQL, and statistical tools (e.g., SPSS, SAS).
• Strong experience in data mining, statistical analysis, and mathematical modeling.
• Extensive experience with pattern recognition and predictive modeling.

Responsibilities

• Gather and process large volumes of structured and unstructured data to identify trends and patterns.
• Ensure data integrity, consistency, and accuracy using statistical techniques.
• Develop additional data review methods and more efficient processes through statistical design.
• Design sampling methodologies and universes for new projects during setup phases.
• Evaluate and refine sampling designs for existing projects.
• Apply weighting techniques to survey data for representativeness.
• Support survey design using statistical principles to ensure validity and reliability.
• Develop streamlined restatement processes to avoid step changes in data.
• Collaborate with stakeholders to identify project health issues and develop solutions.
• Manage and implement data rework/restatement processes for tracking projects.
• Apply modeling approaches to solve challenges related to data universes.
• Work with cross-functional teams to apply insights and guide data usage.
• Conduct complex data investigations and analysis.
• Act as a data strategist by integrating existing and new datasets to enhance product capabilities.
• Partner with engineering teams on the development of data products.
• Stay updated with the latest tools, AI technologies, and data science methods.
• Advise on innovative data collection strategies and recommend best-fit approaches.

Please note that if you do not receive a response within 2 weeks of applying, you may consider your application unsuccessful.