Data Scientist

Staff Unlimited Recruitment; Gqeberha; Remote; ZAR 700,000 - 900,000; Full time

Job summary

A recruitment agency is seeking a highly skilled Data Scientist to join a market research team remotely. The role involves designing surveys, managing data integrity, and generating insights. Candidates should have 7+ years of experience and a degree in Statistics or Applied Mathematics. Proficiency in Excel, SQL, and statistical tools is essential. This position offers the opportunity to work in a dynamic environment with a focus on innovation.

Qualifications

• 7+ years of experience in Data Science.
• Proficiency with data mining, mathematics, and statistical analysis.
• Extensive experience in pattern recognition and modelling.

Responsibilities

• Gather and process structured and unstructured data to identify trends.
• Ensure data integrity, consistency, and accuracy through statistical techniques.
• Design samples methodologies and universe for new projects.

Skills

Data mining

Statistical analysis

Pattern recognition

Excel

SQL

Education

Bachelor’s degree in Statistics, Applied Mathematics, or related field

Tools

PowerBI

SPSS

SAS

PowerPoint

Job description

Position: Data Scientist
Location: Remote

Overview

Our client is seeking a highly skilled and analytical Data Scientist to join their market research team. The Data Scientist needs practical knowledge and comprehensive understanding of research processes and techniques. The successful individual will actively assist in the data production process and when required, within the departments. The ideal candidate will be responsible for designing of the sample and survey, sample implementation instructions into field, monthly production and extrapolations to final client delivery, developing innovate models, and generating actionable insights. This role requires a strong foundation in statistics, machine learning, and data visualization, combined with an understanding of market behaviour and dynamics.

Responsibilities

• Gather and process volumes of structured and unstructured data to identify trends and patterns
• Ensure data integrity, consistency, and accuracy through the use of statistical techniques to validate data for uniformity and accuracy
• Set up and perform additional data reviewing methods using statistics to design more efficient data review processes
• Design samples methodologies and universe for new projects during project setup phases
• Evaluate universe and sample designs for existing projects and implement changes where necessary
• Apply weighting techniques to survey data to ensure representativeness
• Support survey design using statistical principles to ensure validity and reliability
• Design a streamlined restatement process to avoid data step changes
• Work closely with all stakeholders to identify project health issues to develop effective solutions
• Manage and implement data rework /restatements processes for all tracking project projects
• Find innovative solutions to Universe challenges by applying a modelling approach
• Work closely with different teams to apply data-driven insights and provide guidance to the correct use of reported data
• Assist with complex data investigations and analysis
• Serve as a data strategist to identify and integrate existing and new datasets that can be leveraged to enhance our product capabilities, and work closely with the engineering team in the development of data products
• Stay updated with the latest tools, AI technologies and methods in Data Science
• Advise on innovative data collection strategies and recommend best suited approaches.

Requirements

• 7+ years of experience in Data Science
• Bachelor’s degree (or equivalent) in Statistics, Applied Mathematics, or related field
• Experience with Excel, PowerPoint, PowerBI, SQL, and statistical tools SPSS, SAS
• Proficiency with data mining, mathematics, and statistical analysis
• Extensive experience in pattern recognition and modelling

We are looking for someone with:

• A can-do attitude
• Eagerness to grow and learn with the company as part of a high-performing team
• Strong numeracy skills and exceptional attention to detail
• A proactive problem solver and quick thinker
• Ability to work effectively in a dynamic, research-oriented group
• Meticulous attention to detail
• Ability to manage competing priorities under demanding deadlines